Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)

Reused in 1703 other models:

Low Threshold Calcium Currents in TC cells (Destexhe et al 1998)
- dendtc/
- dendtc/cells/
Olfactory Mitral Cell (Davison et al 2000)
- mit4/
Olfactory Bulb Network (Davison et al 2003)
- bulbNet/
Olfactory Mitral Cell (Bhalla, Bower 1993)
- bbmit/
CA1 pyramidal neuron (Migliore et al 1999)
- ca1/
Hopfield and Brody model (Hopfield, Brody 2000)
- HB/
CA1 Pyramidal Neuron: slow Na+ inactivation (Migliore 1996)
- slowinact/
Estimation and Production of Time Intervals (Migliore et al 2001)
- timing/
Short term plasticity of synapses onto V1 layer 2/3 pyramidal neuron (Varela et al 1997)
- varela/
Pyramidal Neuron Deep: K+ kinetics (Korngreen, Sakmann 2000)
- db/
CN Octopus Cell: Ih current (Bal, Oertel 2000)
- h_cno/
Action potential initiation in the olfactory mitral cell (Shen et al 1999)
- mitral_1999/
- mitral_1999/cell2/
- mitral_1999/data/
DG granule cell: I-A model (Beck et al 1992)
- ka_dg/
MNTB Neuron: Kv3.1 currents (Wang et al 1998)
- kv31model/
Retinal Ganglion Cell: I-CaN and I-CaL (Benison et al. 2001)
- ca_rgc/
Retinal Ganglion Cell: I-Na,t (Benison et al 2001)
- na_rgc/
- na_rgc/na_rgc/
Retinal Ganglion Cell: I-A (Benison et al 2001)
- ka_rgc/
- ka_rgc/ka_rgc/
Retinal Ganglion Cell: I-K (Skaliora et al 1995)
- kdr_rgc/
Spinal Motor Neuron: Na, K_A, and K_DR currents (Safronov, Vogel 1995)
- motoneuron/
Xenopus Myelinated Neuron (Frankenhaeuser, Huxley 1964)
- fh/
Ca-dependent K Channel: kinetics from rat muscle (Moczydlowski, Latorre 1983) NEURON
- kca/
Regulation of a slow STG rhythm (Nadim et al 1998)
- mcn1/modify.oc
- mcn1/
Thalamic Relay Neuron: I-T current (Williams, Stuart 2000)
- IcaT/
Olfactory Mitral Cell: I-A and I-K currents (Wang et al 1996)
- ka_kdr_mt/
Glutamate diffusion and AMPA receptor activation in the cerebellar glomerulus (Saftenku 2005)
- gludiff/
Neocortical Layer I: I-A and I-K (Zhou, Hablitz 1996)
- ka_kdr_neoLI/
Ephaptic interactions in olfactory nerve (Bokil et al 2001)
- ephaptic/
Pyramidal Neuron Deep: attenuation in dendrites (Stuart, Spruston 1998)
- spru1998/
- spru1998/Ri18/
- spru1998/Ri21/
- spru1998/Ri22/
Visual Cortex Neurons: Dendritic computations (Archie, Mel 2000)
- synmap/
- synmap/hoc/
Thalamic Relay Neuron: I-h (McCormick, Pape 1990)
- h_tc/
Arteriolar networks: Spread of potential (Crane et al 2001)
- crane2001/
Olfactory Mitral cell: AP initiation modes (Chen et al 2002)
- chen2002/
Demyelinated and remyelinating axon conductances (Hines, Shrager 1991)
- shrager91/
Dentate Basket Cell: spatial summation of inhibitory synaptic inputs (Bartos et al 2001)
- dgbc/
Retinal Photoreceptor: I Potassium (Beech, Barnes 1989)
- kx_photo/
Spinal Motor Neuron (Dodge, Cooley 1973)
- dodge73/
MyFirstNEURON (Houweling, Sejnowski 1997)
- MyFirstNEURON/
- MyFirstNEURON/MyFirstNEURONmanual_files/
Spinal Motor Neuron (McIntyre et al 2002)
- MRGaxon/
Visual Cortex Neurons: Dendritic study (Anderson et al 1999)
- anderson/
- anderson/Files/
- anderson/sim_hoc_files/
- anderson/Cells/
- anderson/Cells/meynert2/
Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998)
- tsodyks/
Squid axon (Hodgkin, Huxley 1952) (NEURON)
- hh/
Midbrain dopamine neuron: firing patterns (Canavier 1999)
- canavier1999/
Cerebellar purkinje cell (De Schutter and Bower 1994)
- Purkinje_tutorial/
- Purkinje_tutorial/contrib/
- Purkinje_tutorial/contrib/passive/
- Purkinje_tutorial/patches/
CA1 pyramidal neuron: conditional boosting of dendritic APs (Watanabe et al 2002)
- boosting/
Feedforward heteroassociative network with HH dynamics (Lytton 1998)
- lytton98/
- lytton98/xtmp
Hippocampus temporo-septal engram shift model (Lytton 1999)
- lytton99/
CA1 Pyramidal Neuron: Synaptic Scaling (London, Segev 2001)
- syn_scale-web-link/synaptic_scaling_files/
- syn_scale-web-link/
CA1 pyramidal neuron: Synaptic Scaling (Magee, Cook 2000)
- magee2000/
Modulation of temporal integration window (Migliore, Shepherd 2002)
- window/
Dendritica (Vetter et al 2001)
- dendritica-1.1/
- dendritica-1.1/batch_back/
- dendritica-1.1/batch_back/back/
- dendritica-1.1/batch_back/back/mod/
- dendritica-1.1/batch_back/back/mod/kvd_nad/
- dendritica-1.1/batch_back/back/mod/kvz_naz/
- dendritica-1.1/batch_back/back/mod/kvz_naz/SGI/
- dendritica-1.1/batch_back/data/
- dendritica-1.1/batch_back/data/act7/
- dendritica-1.1/batch_back/data/act7/aR/
- dendritica-1.1/batch_back/data/act7/aRback/
- dendritica-1.1/batch_back/data/act7/areas/
- dendritica-1.1/batch_back/data/act7/aRfwd/
- dendritica-1.1/batch_back/data/act7/aRmismatch/
- dendritica-1.1/batch_back/data/act7/aZ/
- dendritica-1.1/batch_back/data/act7/aZback/
- dendritica-1.1/batch_back/data/act7/aZfwd/
- dendritica-1.1/batch_back/data/act7/aZmismatch/
- dendritica-1.1/batch_back/data/act7/cdiam/
- dendritica-1.1/batch_back/data/act7/ddeq/
- dendritica-1.1/batch_back/data/act7/ddeq_auto/
- dendritica-1.1/batch_back/data/act7/deq/
- dendritica-1.1/batch_back/data/act7/deq_auto/
- dendritica-1.1/batch_back/data/act7/equiv/
- dendritica-1.1/batch_back/data/act7/frequency/
- dendritica-1.1/batch_back/data/act7/halfdecay/
- dendritica-1.1/batch_back/data/act7/mdiam/
- dendritica-1.1/batch_back/data/act7/nathreshold/
- dendritica-1.1/batch_back/data/act7/R2/
- dendritica-1.1/batch_back/data/act7/Rback/
- dendritica-1.1/batch_back/data/act7/rdiam/
- dendritica-1.1/batch_back/data/act7/Rfwd/
- dendritica-1.1/batch_back/data/act7/Rmismatch/
- dendritica-1.1/batch_back/data/act7/sections/
- dendritica-1.1/batch_back/data/act7/Z/
- dendritica-1.1/batch_back/data/act7/Zback/
- dendritica-1.1/batch_back/data/act7/Zfwd/
- dendritica-1.1/batch_back/data/act7/Zfwd_normalize/
- dendritica-1.1/batch_back/data/act7/Zmismatch/
- dendritica-1.1/batch_back/data/act8/
- dendritica-1.1/batch_back/data/act8/aR/
- dendritica-1.1/batch_back/data/act8/aRback/
- dendritica-1.1/batch_back/data/act8/areas/
- dendritica-1.1/batch_back/data/act8/aRfwd/
- dendritica-1.1/batch_back/data/act8/aRmismatch/
- dendritica-1.1/batch_back/data/act8/aZ/
- dendritica-1.1/batch_back/data/act8/aZback/
- dendritica-1.1/batch_back/data/act8/aZfwd/
- dendritica-1.1/batch_back/data/act8/aZmismatch/
- dendritica-1.1/batch_back/data/act8/cdiam/
- dendritica-1.1/batch_back/data/act8/ddeq/
- dendritica-1.1/batch_back/data/act8/ddeq_auto/
- dendritica-1.1/batch_back/data/act8/deq/
- dendritica-1.1/batch_back/data/act8/deq_auto/
- dendritica-1.1/batch_back/data/act8/equiv/
- dendritica-1.1/batch_back/data/act8/frequency/
- dendritica-1.1/batch_back/data/act8/halfdecay/
- dendritica-1.1/batch_back/data/act8/mdiam/
- dendritica-1.1/batch_back/data/act8/nathreshold/
- dendritica-1.1/batch_back/data/act8/R2/
- dendritica-1.1/batch_back/data/act8/Rback/
- dendritica-1.1/batch_back/data/act8/rdiam/
- dendritica-1.1/batch_back/data/act8/Rfwd/
- dendritica-1.1/batch_back/data/act8/Rmismatch/
- dendritica-1.1/batch_back/data/act8/sections/
- dendritica-1.1/batch_back/data/act8/Z/
- dendritica-1.1/batch_back/data/act8/Zback/
- dendritica-1.1/batch_back/data/act8/Zfwd/
- dendritica-1.1/batch_back/data/act8/Zfwd_normalize/
- dendritica-1.1/batch_back/data/act8/Zmismatch/
- dendritica-1.1/batch_back/data/cells/
- dendritica-1.1/batch_back/data/geometry/
- dendritica-1.1/batch_back/data/geometry/areas/
- dendritica-1.1/batch_back/data/geometry/cdiam/
- dendritica-1.1/batch_back/data/geometry/dAdr/
- dendritica-1.1/batch_back/data/geometry/dAdr_auto/
- dendritica-1.1/batch_back/data/geometry/darea/
- dendritica-1.1/batch_back/data/geometry/darea_auto/
- dendritica-1.1/batch_back/data/geometry/mdiam/
- dendritica-1.1/batch_back/data/geometry/numbers/
- dendritica-1.1/batch_back/data/geometry/rdiam/
- dendritica-1.1/batch_back/data/geometry/sections/
- dendritica-1.1/batch_back/neuron_output/
- dendritica-1.1/batch_back/neuron_output_act7/
- dendritica-1.1/batch_back/neuron_output_act8/
Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001)
- fluct/
Spike Initiation in Neocortical Pyramidal Neurons (Mainen et al 1995)
- spikeinit/
Febrile seizure-induced modifications to Ih (Chen et al 2001)
- ihmodel/
CA1 pyramidal neuron: effects of Lamotrigine on dendritic excitability (Poolos et al 2002)
- lamotrigine/
Myelinated axon conduction velocity (Brill et al 1977)
- brill77/
Temperature-Sensitive conduction at axon branch points (Westerfield et al 1978)
- westerfield78/
Conduction in uniform myelinated axons (Moore et al 1978)
- moore78/
Site of impulse initiation in a neuron (Moore et al 1983)
- moore83/
Current flow during PAP in squid axon at diameter change (Joyner et al 1980)
- joyner80/
Presynaptic calcium dynamics at neuromuscular junction (Stockbridge, Moore 1984)
- stockbridge84/
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
- lytton97/
- lytton97/xtmp
Nerve terminal currents at lizard neuromuscular junction (Lindgren, Moore 1989)
- lindgren89/
Computer model of clonazepam's effect in thalamic slice (Lytton 1997)
- lytton97b/
Efficient Method for Computing Synaptic Conductance (Destexhe et al 1994)
- Neural_Computation/
Dendritic tip geometry effects electrical properties (Tsutsui, Oka 2001)
- dendgeom/
Novel Na current with slow de-inactivation (Tsutsui, Oka 2002)
- nainact/
Emergent properties of networks of biological signaling pathways (Bhalla, Iyengar 1999)
- weblink/
Fast AMPA receptor signaling (Geiger et al 1997)
- geigerEtAl1997/
Activity dependent regulation of pacemaker channels by cAMP (Wang et al 2002)
- HCN2k/
Geometry-induced features of current transfer in neuronal dendrites (Korogod, Kulagina 1998)
- geomindu/
Conditions of dominant effectiveness of distal dendrites (Korogod, Kulagina 1998)
- korogod/
Dendritic L-type Ca currents in motoneurons (Carlin et al 2000)
- EurJNeurosci2000/
Synaptic integration in a model of granule cells (Gabbiani et al 1994)
- granule/
CA1 pyramidal neuron: integration of subthreshold inputs from PP and SC (Migliore 2003)
- sc-pp/
Leech heart interneuron network model (Hill et al 2001, 2002)
- HillEtAl2001_2/
- HillEtAl2001_2/Calabrese/
- HillEtAl2001_2/Calabrese/leech-tutorial/
- HillEtAl2001_2/Calabrese/leech-tutorial/intro/
- HillEtAl2001_2/Calabrese/leech-tutorial/model/
- HillEtAl2001_2/Calabrese/leech-tutorial/tutorial/
- HillEtAl2001_2/Calabrese/leech-tutorial/tutorial/.leechsim.g
- HillEtAl2001_2/Calabrese/leech-tutorial/tutorial/loadfile.g
- HillEtAl2001_2/HN-net/
- HillEtAl2001_2/HN-net/eight/
- HillEtAl2001_2/HN-net/six/
- HillEtAl2001_2/HN-net/two/
- HillEtAl2001_2/leech-libraries/
- HillEtAl2001_2/leech-libraries/newlib1/
- HillEtAl2001_2/leech-libraries/newlib2/
Synaptic transmission at the calyx of Held (Graham et al 2001)
- CoHCNS2000/
T-type Calcium currents (McRory et al 2001)
- CaT/
CA3 pyramidal neuron (Lazarewicz et al 2002)
- ca3_2002/
Transfer properties of Neuronal Dendrites (Korogod et al 1998)
- kkt98/
CA1 interneuron: K currents (Lien et al 2002)
- k_interneurons/
Mechanisms of fast rhythmic bursting in a layer 2/3 cortical neuron (Traub et al 2003)
- Traub2003/
Gamma oscillations in hippocampal interneuron networks (Bartos et al 2002)
- inhibnet/
Facilitation by residual calcium (Stockbridge, Hines 1982)
- stockbridge1982/
Correcting space clamp in dendrites (Schaefer et al. 2003 and 2007)
- demo/
- demo/Fit/
- demo/Fit/SimLeak/
- demo/Fit/Output/
- demo/Fit/ClampCurrents/
- demo/Fit/cells/
- demo/Fit/mod/
- demo/Experiment/
- demo/Experiment/ClampCurrents/
- demo/Experiment/cells/
- demo/Experiment/mod/
- demo/Kinetics/
- demo/Kinetics/Output/
- demo/Kinetics/cells/
- demo/Kinetics/mod/
Gamma oscillations in hippocampal interneuron networks (Wang, Buzsaki 1996)
- wang1996/
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
- thalamocort2002/
Signal integration in LGN cells (Briska et al 2003)
- lgnsigint/
CA1 pyramidal neuron: effects of Ih on distal inputs (Migliore et al 2004)
- synchro-ca1/
Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
- ring/
Serotonergic modulation of Aplysia sensory neurons (Baxter et al 1999)
- Baxter/
Enhanced Excitability in Hermissenda: modulation by 5-HT (Cai et al 2003)
- Cai/
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
- Phares/
- Phares/trt/
- Phares/syn_differential/
- Phares/cells/
- Phares/syn_no_depression/
- Phares/ous/
- Phares/ntw/
- Phares/syn_control/
- Phares/syn_gain/
Caffeine-induced electrical oscillations in Aplysia neurons (Komendantov, Kononenko 2000)
- Komendantov/control/
- Komendantov/Fig_6/
- Komendantov/Fig_7/
- Komendantov/xls/
- Komendantov/
I A in Kenyon cells resemble Shaker currents (Pelz et al 1999)
- Pelz/
A network model of tail withdrawal in Aplysia (White et al 1993)
- White/
CA3 pyramidal cell: rhythmogenesis in a reduced Traub model (Pinsky, Rinzel 1994)
- 35358/
- 35358/xtmp
Stochastic LTP/LTD conditioning of a synapse (Migliore and Lansky 1999)
- MiglioreLansky1999/
Auditory nerve model for predicting performance limits (Heinz et al 2001)
- AudNervModNormAndImpair/
Model of cochlear membrane adapted (Peterson, Bogert 1950)
- PBmodel/
Inner hair cell auditory nerve synapse model (Deligeorges, Mountain 1997)
- ihc-an_syn/
Multiple modes of inner hair cell stimulation (Mountain, Cody 1999)
- InnerHairCell/
Auditory nerve response model (Zhang et al 2001)
- nonlinTuning/
Auditory nerve response model (Tan, Carney 2003)
- NonLinTuningWithFreqGlide/
Auditory nerve model with linear tuning (Heinz et al 2001)
- NCmodel/
Thalamocortical augmenting response (Bazhenov et al 1998)
- thal_aug_resp/
CN pyramidal fusiform cell (Kanold, Manis 2001)
- CN_Pyr/
CN bushy, stellate neurons (Rothman, Manis 2003)
- CN_Bushy_Stellate/
Artificial neuron model (Izhikevich 2003, 2004, 2007)
- izhikevich_simple_nrn/
Spiny neuron model with dopamine-induced bistability (Gruber et al 2003)
- spinycell/
- spinycell/figs/
Sparsely connected networks of spiking neurons (Brunel 2000)
- brunel/
Kenyon cells in the honeybee (Wustenberg et al 2004)
- kenyon/
Touch Sensory Cells (T Cells) of the Leech (Cataldo et al. 2004) (Scuri et al. 2007)
- Leech_T_Cell/Synaptic_Terminals_Without_Varicosities/
- Leech_T_Cell/Synaptic_Terminals_With_Varicosities/
- Leech_T_Cell/
Effects of Acetyl-L-carnitine on neural transmission (Lombardo et al 2004)
- Leech_T_Cell_ALC/
- Leech_T_Cell_ALC/Presynaptic_Arborization_without_Varicosities/
- Leech_T_Cell_ALC/Presynaptic_Arborization_with_Varicosities/
Squid axon (Hodgkin, Huxley 1952) (SNNAP)
- hhModel/
Morris-Lecar model of the barnacle giant muscle fiber (Morris, Lecar 1981)
- bursterCPG/
Minimal cell model (Av-Ron et al 1991)
- MCM/
Multiple modes of a conditional neural oscillator (Epstein, Marder 1990)
- EpsteinMarder90/
Spike propagation and bouton activation in terminal arborizations (Luscher, Shiner 1990)
- LusherShiner90/
Bursting activity of neuron R15 in Aplysia (Canavier et al 1991, Butera et al 1995)
- R15/
Olfactory bulb mitral cell: synchronization by gap junctions (Migliore et al 2005)
- gap-modeldb/
Sympathetic neuron (Wheeler et al 2004)
- sympathetic/
- sympathetic/20180626/
- sympathetic/G-clamp/
- sympathetic/G-clamp/Amplifiers/
- sympathetic/G-clamp/Amplifiers/MultiClamp 700B Files/
- sympathetic/G-clamp/Event Files/
- sympathetic/G-clamp/ExpModules/
- sympathetic/G-clamp/Main VIs/
- sympathetic/G-clamp/Main VIs/Host/
- sympathetic/G-clamp/Main VIs/Target/
- sympathetic/G-clamp/OfflineUtilities/
- sympathetic/neurosim/
The activity phase of postsynaptic neurons (Bose et al 2004)
- activityphase/
Large cortex model with map-based neurons (Rulkov et al 2004)
- largectx2004/
A single column thalamocortical network model (Traub et al 2005)
- traubEtAl2005/
- traubEtAl2005/data/
Bursting and resonance in cerebellar granule cells (D'Angelo et al. 2001)
- GranuleCell/
Cerebellar Purkinje Cell: resurgent Na current and high frequency firing (Khaliq et al 2003)
- purkinje/
Pyramidal neurons: IKHT offsets activation of IKLT to increase gain (Fernandez et al 2005)
- IKHToffsetsIKLT/
Spike timing detection in different forms of LTD (Doi et al 2005)
- DoiEtAl2005WebLink/
- DoiEtAl2005WebLink/ATR CNS Computational Neuroscience Laboratories_files/
Kinetic NMDA receptor model (Kampa et al 2004)
- NMDA_Mg/
Olfactory bulb granule cell: effects of odor deprivation (Saghatelyan et al 2005)
- saghatelyan/
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
- network-web-link/
- network-web-link/index_files/
Spontaneous firing caused by stochastic channel gating (Chow, White 1996)
- stochastichh/
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
- maex_de_schutter2003/inhib_netw_files/
- maex_de_schutter2003/
Neural model of two-interval discrimination (Machens et al 2005)
- WebLinkToMachensEtAl2005/
Ribbon Synapse (Sikora et al 2005)
- Ribbon/hocload.tmp
Dorsal root ganglion (DRG) neuronal model (Amir, Devor 2003)
- amirdevor03/
LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)
- lsimp2/
Dentate gyrus network model (Santhakumar et al 2005)
- dentategyrusnet2005/
Cortical network model of posttraumatic epileptogenesis (Bush et al 1999)
- ctxnet/
- ctxnet/data.temp
Motoneuron simulations for counting motor units (Major and Jones 2005)
- MajorJones2005/
Compartmental model of a mitral cell (Popovic et al. 2005)
- anyas2005/
- anyas2005/model_bf_HPP/
- anyas2005/model_bf_real_EPSP/
Discrete event simulation in the NEURON environment (Hines and Carnevale 2004)
- hines2004/
S cell network (Moss et al 2005)
- leech_S_cell/
Tonic neuron in spinal lamina I: prolongation of subthreshold depol. (Prescott and De Koninck 2005)
- lamina1/
Rat phrenic motor neuron (Amini et al 2004)
- pmn_web_link/index_files/
- pmn_web_link/
A model for interaural time difference sensitivity in the medial superior olive (Zhou et al 2005)
- MSO_Zhouetal_2005/
Medial vestibular neuron models (Quadroni and Knopfel 1994)
- mvns/
- mvns/diagnostics/
T-type Ca current in thalamic neurons (Wang et al 1991)
- ca_t_lva/
C elegans pharynx simulation (Avery and Shtonda 2003)
- pharynx_sim/
- pharynx_sim/handout_files/
- pharynx_sim/source/
- pharynx_sim/source/pharynx/
NEUROFIT: fitting HH models to voltage clamp data (Willms 2002)
- weblink/index_files/
- weblink/
Channel parameter estimation from current clamp and neuronal properties (Toth, Crunelli 2001)
- STORE_AP/
Olfactory receptor neuron model (Dougherty et al 2005)
- dwy_pnas_demo2/
AP initiation and propagation in type II cochlear ganglion cell (Hossain et al 2005)
- Hossain/
CA1 pyramidal neuron: signal propagation in oblique dendrites (Migliore et al 2005)
- obliques/
Role of KCNQ1 and IKs in cardiac repolarization (Silva, Rudy 2005)
- weblink_rudy/
Breakdown of accmmodation in nerve: a possible role for INAp (Hennings et al 2005)
- BOA Model/
A dynamic model of the canine ventricular myocyte (Hund, Rudy 2004)
- weblink/index_files/
- weblink/
Ventricular cell model (Guinea-pig-type) (Luo, Rudy 1991, +11 other papers!) (C++)
- weblink/index_files/
- weblink/
Boundary effects influence velocity in transverse propagation of cardiac APs (Sperelakis et al 2005)
- Model_IDB/
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
- nmda_model_db/
HERG K+ channels spike-frequency adaptation (Chiesa et al 1997)
- kir_sim/
Consequences of HERG mutations in the long QT syndrome (Clancy, Rudy 2001)
- clancyrudy2001/
Allosteric gating of K channels (Horrigan et al 1999)
- ikca_horrigan_etal1999/
Ca(2+) oscillations based on Ca-induced Ca-release (Dupont et al 1991)
- Ca_Oscill/
Role of KCNQ1 and IKs in cardiac repolarization (Silva, Rudy 2005) (XPP)
- IKs_Mar/
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
- tei_model_db/
Proximal inhibition of Renshaw cells (Bui et al 2005)
- Renshaw_cells_and_motoneurons/
- Renshaw_cells_and_motoneurons/RC1a/
- Renshaw_cells_and_motoneurons/RC4a/
- Renshaw_cells_and_motoneurons/LVN4-1/
- Renshaw_cells_and_motoneurons/RC2a/
- Renshaw_cells_and_motoneurons/LVN2-1/
- Renshaw_cells_and_motoneurons/RC3a/
- Renshaw_cells_and_motoneurons/LAD5-4/
IA and IT interact to set first spike latency (Molineux et al 2005)
- a_and_t/
Dendritic Na inactivation drives a decrease in ISI (Fernandez et al 2005)
- na_excit/
Continuum model of tubulin-driven neurite elongation (Graham et al 2006)
- CMNG_JCN/
Compartmental models of growing neurites (Graham and van Ooyen 2004)
- Neurite/
- Neurite/Params/
Excitability of the soma in central nervous system neurons (Safronov et al 2000)
- b1/
Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
- weblink2_miller_wang2006/
- weblink2_miller_wang2006/Cplusplus/
- weblink2_miller_wang2006/Cplusplus/discriminator_files/
- weblink2_miller_wang2006/xppaut/
A model for pituitary GH(3) lactotroph (Wu and Chang 2005)
- GH3_Katp/
Excitation-contraction coupling in an integrative heart cell model (Greenstein et al 2006)
- GreensteinEtAl2006/
Kv4.3, Kv1.4 encoded K(+) channel in heart cells (Greenstein et al 2000) (XPP)
- hKv4x/
Kv4.3, Kv1.4 encoded K channel in heart cells & tachy. (Winslow et al 1999, Greenstein et al 2000)
- CCBM_weblink1/
Markovian model for cardiac sodium channel (Clancy, Rudy 2002)
- Ina_Markov/
Sodium currents activate without a delay (Baranauskas and Martina 2006)
- na2006/
Markovian model for single-channel recordings of Ik_1 in ventricular cells (Matsuoka et al 2003)
- ik1/
Dichotomy of action-potential backpropagation in CA1 pyramidal neuron dendrites (Golding et al 2001)
- readme/
- readme/readme_files/
Voltage attenuation in CA1 pyramidal neuron dendrites (Golding et al 2005)
- readme/
- readme/readme_files/
Cardiac action potential based on Luo-Rudy phase 1 model (Luo and Rudy 1991), (Wu 2004)
- LR_test/
Vomeronasal sensory neuron (Shimazaki et al 2006)
- VNO/
Reciprocal regulation of rod and cone synapse by NO (Kourennyi et al 2004)
- Kourennyi-etal2004/
Parallel network simulations with NEURON (Migliore et al 2006)
- netmod/
- netmod/parbulbNet/
- netmod/perf1/
- netmod/parscalebush/
- netmod/parbush/
- netmod/pardentategyrus/
- netmod/parbush/data/
- netmod/parbush/xtmp
Biologically-plausible models for spatial navigation (Cannon et al 2003)
- cannonEtAl2003/
- cannonEtAl2003/weblink_to_askja_bu_edu_files/
A dynamical model of the basal ganglia (Leblois et al 2006)
- code/
Steady-state Vm distribution of neurons subject to synaptic noise (Rudolph, Destexhe 2005)
- NCnote/
Learning spatial transformations through STDP (Davison, Frégnac 2006)
- bfstdp/
- bfstdp/Data/
Simple model of barrel-specific segregation in cortex (Lu et al 2006)
- brls-web-link/
- brls-web-link/readme_files/
Dopaminergic cell bursting model (Kuznetsov et al 2006)
- kuzkopwil2006/
Dynamical model of olfactory bulb mitral cell (Rubin, Cleland 2006)
- mitral/
Computational Model of a Central Pattern Generator (Cataldo et al 2006)
- Aplysia_Feeding_CPG_Network/
- Aplysia_Feeding_CPG_Network/sB8/
- Aplysia_Feeding_CPG_Network/ses/
- Aplysia_Feeding_CPG_Network/ntw/
- Aplysia_Feeding_CPG_Network/B51/
- Aplysia_Feeding_CPG_Network/sB31/
- Aplysia_Feeding_CPG_Network/B63/
- Aplysia_Feeding_CPG_Network/ous/
- Aplysia_Feeding_CPG_Network/sB34/
- Aplysia_Feeding_CPG_Network/B8/
- Aplysia_Feeding_CPG_Network/sB35/
- Aplysia_Feeding_CPG_Network/smu/
- Aplysia_Feeding_CPG_Network/B34/
- Aplysia_Feeding_CPG_Network/B31/
- Aplysia_Feeding_CPG_Network/sB64/
- Aplysia_Feeding_CPG_Network/es/
- Aplysia_Feeding_CPG_Network/sB4/
- Aplysia_Feeding_CPG_Network/scs/
- Aplysia_Feeding_CPG_Network/B4/
- Aplysia_Feeding_CPG_Network/sB52/
- Aplysia_Feeding_CPG_Network/B64/
- Aplysia_Feeding_CPG_Network/trt/
- Aplysia_Feeding_CPG_Network/sZ/
- Aplysia_Feeding_CPG_Network/B35/
- Aplysia_Feeding_CPG_Network/cs/
- Aplysia_Feeding_CPG_Network/Z/
- Aplysia_Feeding_CPG_Network/B52/
- Aplysia_Feeding_CPG_Network/sB51/
- Aplysia_Feeding_CPG_Network/sB63/
CA1 pyramidal neuron synaptic integration (Li and Ascoli 2006, 2008)
- xiaoshenli/
Activity dependent changes in motoneurones (Dai Y et al 2002, Gardiner et al 2002)
- SCM_for_ModelDB/
- SCM_for_ModelDB/Cat_MN_S-type/
- SCM_for_ModelDB/Rat_MN_F-type/
- SCM_for_ModelDB/SCM_Cat_dist/
Rat subthalamic projection neuron (Gillies and Willshaw 2006)
- sth-model/
- sth-model/sth-data/
Excitatory and inhibitory interactions in populations of model neurons (Wilson and Cowan 1972)
- WC/
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
- weblink2topog/
- weblink2topog/readme_files/
An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
- MOT10/res/
- MOT10/
Simulation study of Andersen-Tawil syndrome (Sung et al 2006)
- ATS-file/
Action potential of striated muscle fiber (Adrian et al 1970)
- muscleAP/
Cardiac Atrial Cell (Courtemanche et al 1998) (C++)
- HAM_AP/
FS Striatal interneuron: K currents solve signal-to-noise problems (Kotaleski et al 2006)
- weblink2KotaleskiFSmodel/
Differences between type A and B photoreceptors (Blackwell 2006)
- weblink2BlackwellJNeurophys2006/
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
- BG_DA_Learn/
- BG_DA_Learn/supplement/
Cerebellar purkinje cell: interacting Kv3 and Na currents influence firing (Akemann, Knopfel 2006)
- AkemannKnopfelPurkinje_cell_model/
Ih levels roles in bursting and regular-spiking subiculum pyramidal neurons (van Welie et al 2006)
- Welie-Wadman-JPhysiol-subiculum/
Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
- HaeuslerMaass2006/
- HaeuslerMaass2006/index_files/
Computational aspects of feedback in neural circuits (Maass et al 2006)
- MaassJoshiSontag2006/
- MaassJoshiSontag2006/index_files/
High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)
- HaeuslerEtAl2003/
- HaeuslerEtAl2003/index_files/
Hysteresis in voltage gating of HCN channels (Elinder et al 2006, Mannikko et al 2005)
- modeshift/
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
- DynBasIrregSpNMDA/
- DynBasIrregSpNMDA/out/
Neocortical pyramidal neuron: deep; effects of dopamine (Durstewitz et al 2000)
- pcell/
Distributed computing tool for NEURON, NEURONPM (screensaver) (Calin-Jageman and Katz 2006)
- NeuronPM/
- NeuronPM/neuronpm_repo/
- NeuronPM/neuronpm_repo/.git/
- NeuronPM/neuronpm_repo/.git/branches/
- NeuronPM/neuronpm_repo/.git/hooks/
- NeuronPM/neuronpm_repo/.git/info/
- NeuronPM/neuronpm_repo/.git/logs/
- NeuronPM/neuronpm_repo/.git/logs/refs/
- NeuronPM/neuronpm_repo/.git/logs/refs/heads/
- NeuronPM/neuronpm_repo/.git/logs/refs/remotes/
- NeuronPM/neuronpm_repo/.git/logs/refs/remotes/origin/
- NeuronPM/neuronpm_repo/.git/objects/
- NeuronPM/neuronpm_repo/.git/objects/info/
- NeuronPM/neuronpm_repo/.git/objects/pack/
- NeuronPM/neuronpm_repo/.git/refs/
- NeuronPM/neuronpm_repo/.git/refs/heads/
- NeuronPM/neuronpm_repo/.git/refs/remotes/
- NeuronPM/neuronpm_repo/.git/refs/remotes/origin/
- NeuronPM/neuronpm_repo/.git/refs/tags/
- NeuronPM/neuronpm_repo/neuronpm/
- NeuronPM/neuronpm_repo/neuronpm/_mmServerScripts/
- NeuronPM/neuronpm_repo/neuronpm/_notes/
- NeuronPM/neuronpm_repo/neuronpm/admin/
- NeuronPM/neuronpm_repo/neuronpm/admin/_notes/
- NeuronPM/neuronpm_repo/neuronpm/client/
- NeuronPM/neuronpm_repo/neuronpm/client/_notes/
- NeuronPM/neuronpm_repo/neuronpm/conf/
- NeuronPM/neuronpm_repo/neuronpm/Connections/
- NeuronPM/neuronpm_repo/neuronpm/install/
- NeuronPM/neuronpm_repo/neuronpm/install/pages/
- NeuronPM/neuronpm_repo/neuronpm/install/sql/
- NeuronPM/neuronpm_repo/neuronpm_client/
- NeuronPM/neuronpm_repo/neuronpm_client_source/
- NeuronPM/neuronpm_repo/neuronpm_client_source/Backup/
- NeuronPM/neuronpm_repo/neuronpm_client_source/Backup/NSweep/
- NeuronPM/neuronpm_repo/neuronpm_client_source/Backup/NSweep/My Project/
- NeuronPM/neuronpm_repo/neuronpm_client_source/Backup/NSweep/nrniv/
- NeuronPM/neuronpm_repo/neuronpm_client_source/Backup/NSweep/Resources/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/bin/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/bin/Debug/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/bin/Release/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/bin/Release/install.bat
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/bin/Release/neuronPM.publish/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/bin/Release/neuronPM.publish/neuronPM_1_0_0_1/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/bin/Release/neuronPM.publish/neuronPM_1_0_0_1/Resources/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/My Project/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/nrniv/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/obj/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/obj/Debug/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/obj/Debug/TempPE/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/obj/Release/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/obj/Release/TempPE/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/publish/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/publish/neuronPM_1_0_0_0/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/publish/neuronPM_1_0_0_0/Resources/
- NeuronPM/neuronpm_repo/neuronpm_client_source/NSweep/Resources/
- NeuronPM/oldweblink/
Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
- destexhe_benchmarks/
- destexhe_benchmarks/NEST/
- destexhe_benchmarks/SPLIT/
- destexhe_benchmarks/NCS/
- destexhe_benchmarks/CSIM/
- destexhe_benchmarks/SciLab/
- destexhe_benchmarks/C++/
- destexhe_benchmarks/C++/benchmark1/
- destexhe_benchmarks/C++/benchmark2/
- destexhe_benchmarks/MVAspike/
- destexhe_benchmarks/PyNN/
- destexhe_benchmarks/PyNN/0.4/
- destexhe_benchmarks/GENESIS/
- destexhe_benchmarks/GENESIS/isynchan/
- destexhe_benchmarks/GENESIS/isynchan/isynlib/
- destexhe_benchmarks/XPP/
- destexhe_benchmarks/NEURON/
- destexhe_benchmarks/NEURON/cuba/
- destexhe_benchmarks/NEURON/cobahh/
- destexhe_benchmarks/NEURON/common/
- destexhe_benchmarks/NEURON/coba/
- destexhe_benchmarks/NEURON/cubadv/
- destexhe_benchmarks/Brian/
A simulation method for the firing sequences of motor units (Jiang et al 2006)
- mNing/result/
Pyramidal neuron coincidence detection tuned by dendritic branching pattern (Schaefer et al 2003)
- BACFiring/
- BACFiring/mod/
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
- Baxter_Byrne_Neurocomput_06/
INa and IKv4.3 heterogeneity in canine LV myocytes (Flaim et al 2006)
- flaim_ajp/
- flaim_ajp/NewerICs/
Contibutions of input and history to motoneuron output (Powers et al 2005)
- threshcross/
Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
- hasselmo/
- hasselmo/readme_files/
A reinforcement learning example (Sutton and Barto 1998)
- hasselmo/
- hasselmo/readme_files/
Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
- hasselmo/
- hasselmo/readme_files/
Fixed point attractor (Hasselmo et al 1995)
- hasselmo/
- hasselmo/readme_files/
Ambiguous Encoding and Distorted Perception (Carlson and Kawasaki 2006)
- PrimAff_IntFire/
Combination sensitivity and active conductances (Carlson and Kawasaki 2006)
- SynInt_Cond/
Subthreshold inact. of K channels modulates APs in bitufted interneurons (Korngreen et al 2005)
- korngreenEtAl2005/
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
- coco06/
- coco06/v/
- coco06/src/
- coco06/src/fun_data/
- coco06/src/fun_basic/
- coco06/src/fun_weight_list/
- coco06/src/kernel/
- coco06/src/parser/
- coco06/src/fun_special/
- coco06/docu/
- coco06/docu/figs/
Role of active dendrites in rhythmically-firing neurons (Goldberg et al 2006)
- goldbergEtAl2006/
Spiking neuron model of the basal ganglia (Humphries et al 2006)
- BG_spiking_model/
- BG_spiking_model/Marks tools/
- BG_spiking_model/Postproc/
- BG_spiking_model/LIFtools/
- BG_spiking_model/LIFtools/Analysis/
Population-level model of the basal ganglia and action selection (Gurney et al 2001, 2004)
- intrinsicmodel/
Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002)
- extendedmodel/
A theory of ongoing activity in V1 (Goldberg et al 2004)
- goldbergEtAl2004/
Modeling interactions in Aplysia neuron R15 (Yu et al 2004)
- Yu_et_al_04_R15_model/
Input Fluctuations effects on f-I curves (Arsiero et al. 2007)
- Arsiero_et_al2007/
- Arsiero_et_al2007/mylibs/
- Arsiero_et_al2007/mechanisms/
Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
- daspnet/
Extracellular Action Potential Simulations (Gold et al 2007)
- eaps/
- eaps/cells/
- eaps/docs/
- eaps/hoc/
- eaps/hoc/params/
- eaps/hoc/src/
- eaps/hoc/src/output/
- eaps/hoc/src/output/.gitkeep
- eaps/mat/
- eaps/mat/cell_settings/
- eaps/mat/file_util/
- eaps/mat/lsa/
- eaps/mat/lsa/temp/
- eaps/mat/lsa/temp/.gitkeep
- eaps/mat/meas_eap/
- eaps/mat/neuron_util/
- eaps/mat/plot_cell/
- eaps/mat/plot_extra/
- eaps/mat/plot_intra/
- eaps/mat/plot_util/
- eaps/mod/
- eaps/output/
- eaps/output/.gitkeep
Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003)
- decorr-model/
- decorr-model/images/
Synaptic integration of an identified nonspiking interneuron in crayfish (Takashima et al 2006)
- LDS_model/
Zonisamide-induced inhibition of the firing of APs in hippocampal neurons (Huang et al. 2007)
- Neuron_ZNS/
Differential modulation of pattern and rate in a dopamine neuron model (Canavier and Landry 2006)
- CanavierLandry2006/
- CanavierLandry2006/in_vitro/
Method for counting motor units in mice (Major et al 2007)
- weblinktomodel/
A cardiac cell simulator (Puglisi and Bers 2001), applied to the QT interval (Busjahn et al 2004)
- web-link-2-LabHEART/
- web-link-2-LabHEART/index_files/
Squid axon (Hodgkin, Huxley 1952) (LabAXON)
- web-link-2-LabAXON/
Recording from rod bipolar axon terminals in situ (Oltedal et al 2007)
- oltedal/
Models of Na channels from a paper on the PKC control of I Na,P (Baker 2005)
- baker05/
Modeling temperature changes in AMPAR kinetics (Postlethwaite et al 2007)
- CalyxModelDB/
- CalyxModelDB/MCell_scripts/
Model of calcium oscillations in olfactory cilia (Reidl et al. 2006)
- Ca_dyn_ORN_Reidl_etal/
STDP and NMDAR Subunits (Gerkin et al. 2007)
- gerkinetal2007/
Markov models of SCN1A (NaV1.1) applied to abnormal gating and epilepsy (Clancy and Kass 2004)
- clancykass04/
Amyloid beta (IA block) effects on a model CA1 pyramidal cell (Morse et al. 2010)
- CA1_abeta/
- CA1_abeta/translate/
Squid axon (Hodgkin, Huxley 1952) (SBML, XPP, other)
- weblinktomodel/
Oscillating neurons in the cochlear nucleus (Bahmer Langner 2006a, b, and 2007)
- BahmerLangner2007/distrib/
- BahmerLangner2007/include/
- BahmerLangner2007/NEURON_Chopper_Network_Simulation/
AP shape and parameter constraints in optimization of compartment models (Weaver and Wearne 2006)
- weaver_SimAnn_ObjFcn/
- weaver_SimAnn_ObjFcn/model/
- weaver_SimAnn_ObjFcn/model/timing.txt
- weaver_SimAnn_ObjFcn/optmz/
- weaver_SimAnn_ObjFcn/optmz/mulfit/
CA1 oriens alveus interneurons: signaling properties (Minneci et al. 2007)
- olm-int/
Slow wave propagation in the guinea-pig gastric antrum (Hirst et al. 2006, Edwards and Hirst 2006)
- slowwave/
Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
- selfinfluencing_plasticity/
Sodium channel mutations causing generalized epilepsy with febrile seizures + (Barela et al. 2006)
- R859C/
Cat auditory nerve model (Zilany and Bruce 2006, 2007)
- zelanyBruceWebLink/
- zelanyBruceWebLink/readme_files/
Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
- weblink/
The role of ATP-sensitive potassium channels in a hippocampal neuron (Huang et al. 2007)
- Neuron_KATP/
Olfactory bulb network model of gamma oscillations (Bathellier et al. 2006; Lagier et al. 2007)
- Source/
Oxytocin and VIP involvement in prolactin secretion (Egli et al. 2004,2006, Bertram et al. 2006)
- EgliEtAl2004weblink/
Low dose of dopamine may stimulate prolactin secretion by increasing K currents (Tabak et al. 2006)
- tabakEtAl2007weblink/
Endothelin action on pituitary latotrophs (Bertram et al. 2006)
- BertramEtAl2006stke/
Implementation issues in approximate methods for stochastic Hodgkin-Huxley models (Bruce 2007)
- weblink/
- weblink/index_files/
Lamprey spinal CPG neuron (Huss et al. 2007)
- lampreyCPGneuron/
Activity dependent conductances in a neuron model (Liu et al. 1998)
- liuEtAl1998/
Updated Tritonia Swim CPG (Calin-Jagemann et al. 2007)
- nfrost/
- nfrost/lib/
- nfrost/celltypes/
- nfrost/ses/
- nfrost/output/
- nfrost/syndefs/
Efficient estimation of detailed single-neuron models (Huys et al. 2006)
- infercell/
Fast population coding (Huys et al. 2007)
- hznd06_code/
Mapping function onto neuronal morphology (Stiefel and Sejnowski 2007)
- StiefelSejnowskiCode/
Periodicity in Na channel properties alters model neuron excitability (Majumdar and Sikdar 2007)
- MajumdarSikdar2007/
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
- DBScode/
Inferring connection proximity in electrically coupled networks (Cali et al. 2007)
- chain_1d/
- chain_1d/mechanisms/
- chain_1d/mylibs/
- chain_1d/output/
- chain_1d/output/matlab/
- chain_1d/AnalysisGUI/
- chain_1d/AnalysisGUI/matlab/
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
- TurtleVisCortex/
- TurtleVisCortex/coords/
- TurtleVisCortex/lib/
- TurtleVisCortex/models/
- TurtleVisCortex/output/
Dentate gyrus granule cell: subthreshold signal processing (Schmidt-Hieber et al. 2007)
- gc-1.1/cell_1/1702c1.txt
- gc-1.1/cell_2/2002c2.txt
- gc-1.1/cell_3/1602c4.txt
- gc-1.1/cell_4/1705c1.txt
- gc-1.1/cell_5/2205c1.txt
- gc-1.1/cell_6/1107c1.txt
- gc-1.1/cell_7/1207c3.txt
- gc-1.1/cell_8/0611c1.txt
Kinetics of the P2X7 receptor as expressed in Xenopus oocytes (Riedel et al. 2007a,b)
- P2X7Riedel/
Translating network models to parallel hardware in NEURON (Hines and Carnevale 2008)
- HinesCarnevaleJNM2007/
- HinesCarnevaleJNM2007/random/
- HinesCarnevaleJNM2007/ring/
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
- MT-GC/
Vesicular pool simulations of synaptic depression (Aristizabal and Glavinovic 2004)
- syndep/
- syndep/Three_Pools_Constant.mdl
Model of DARPP-32 phosphorylation in striatal medium spiny neurons (Lindskog et al. 2006)
- DARPPmodel_2006/
Fast-spiking cortical interneuron (Golomb et al. 2007)
- fs_internrn/
Ion channel modeling with whole cell and a genetic algorithm (Gurkiewicz and Korngreen 2007)
- Ga_demo/
- Ga_demo/data/
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
- mdl_modif_mdb/
Mammalian Ventricular Cell (Beeler and Reuter 1977)
- beelerReuter/
NEURON interfaces to MySQL and the SPUD feature extraction algorithm (Neymotin et al. 2008)
- SPUD_NRN_MySQL_20091026/
- SPUD_NRN_MySQL_20091026/mysql/
Neural Query System NQS Data-Mining From Within the NEURON Simulator (Lytton 2006)
- NQS_with_example/
- NQS_with_example/modeldb/
- NQS_with_example/NQS/
- NQS_with_example/MFP/
- NQS_with_example/NQS/xtmp
Determinants of fast calcium dynamics in dendritic spines and dendrites (Cornelisse et al. 2007)
- PLoSOne/
- PLoSOne/MatlabScripts/
- PLoSOne/MatlabScripts/Graphics/
- PLoSOne/MatlabScripts/DataLoading/
- PLoSOne/MatlabScripts/Functions/
- PLoSOne/MatlabScripts/EndoBufCap/
- PLoSOne/Output/
- PLoSOne/Output/Exp3/
- PLoSOne/Output/ExpSVREndoCalmodTraces/
- PLoSOne/Output/Exp4/
- PLoSOne/Output/ExpKdEndo/
- PLoSOne/Output/ExpKdEndoTraces/
- PLoSOne/Output/Exp7A/
- PLoSOne/Output/Exp4D/
- PLoSOne/Output/Exp7B/
- PLoSOne/Output/ExpXDiffKOn/
- PLoSOne/Output/ExpDtGamma/
- PLoSOne/Output/ExpB8A/
- PLoSOne/Output/ExpXDiffKOnTraces/
- PLoSOne/Output/ExpB8B/
- PLoSOne/Output/ExpEndoDt/
- PLoSOne/Output/ExpB8E/
- PLoSOne/Output/ExpB8F/
- PLoSOne/Output/ExpSVREndo/
- PLoSOne/Output/ExpB8Gb/
- PLoSOne/Output/ExpSVREndoTraces/
- PLoSOne/Output/ExpB8Hb/
- PLoSOne/Output/ExpDtGammaII/
- PLoSOne/Output/ExpKOnKOff/
- PLoSOne/Output/ExpKOnKOffTraces/
- PLoSOne/Output/ExpSVREndoCalmod/
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
- splitcell/
- splitcell/nrntraub/
- splitcell/common/
- splitcell/pardentategyrus/
- splitcell/nrntraub/cells/
- splitcell/nrntraub/net/
- splitcell/nrntraub/hoc/
- splitcell/nrntraub/mod/
Neuronal population models of intracerebral EEG (Wendling et al. 2005)
- wendlingEtAl2005/
- wendlingEtAl2005/exe/
- wendlingEtAl2005/exe/modeleNpop.app/
- wendlingEtAl2005/exe/modeleNpop.app/Resources/
- wendlingEtAl2005/exe/modeleNpop.app/Resources/English.lproj/
- wendlingEtAl2005/exe/modeleNpop.app/Resources/English.lproj/modeleNpop.nib/
- wendlingEtAl2005/exe/modeleNpop.app/Resources/English.lproj/population.nib/
- wendlingEtAl2005/src/
- wendlingEtAl2005/src/English.lproj/
- wendlingEtAl2005/src/English.lproj/colonne.nib~/
- wendlingEtAl2005/src/English.lproj/modeleNcol.nib~/
- wendlingEtAl2005/src/English.lproj/modeleNpop.nib/
- wendlingEtAl2005/src/English.lproj/modeleNpop.nib~/
- wendlingEtAl2005/src/English.lproj/population.nib/
- wendlingEtAl2005/src/English.lproj/population.nib~/
- wendlingEtAl2005/src/obj-i386-nextpdo-winnt3.5-opt/
- wendlingEtAl2005/wendling_model_C_code/
Fully Implicit Parallel Simulation of Single Neurons (Hines et al. 2008)
- multisplit/
- multisplit/modeldb/
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
- BNSF_1_0/Data/
- BNSF_1_0/Data/Default/
- BNSF_1_0/Include/
- BNSF_1_0/Include/Baker/
- BNSF_1_0/Include/Rallpack/
- BNSF_1_0/Matlab/
- BNSF_1_0/R/
- BNSF_1_0/Rallpack/
- BNSF_1_0/Src/
- BNSF_1_0/Src/Baker/
- BNSF_1_0/Src/Rallpack/
- BNSF_1_0/Src/Utility/
- BNSF_1_0/Testcases/
- BNSF_1_0/Test_Baker/
- BNSF_1_0/Utility/
D2 dopamine receptor modulation of interneuronal activity (Maurice et al. 2004)
- D2modulation/
Fronto-parietal visuospatial WM model with HH cells (Edin et al 2007)
- SFS-IPS-WM-network/
- SFS-IPS-WM-network/APs.txt
ERG current in repolarizing plateau potentials in dopamine neurons (Canavier et al 2007)
- canavier2007/
CA3 pyramidal neuron: firing properties (Hemond et al. 2008)
- ca3b/
Leech S Cell: Modulation of Excitability by Serotonin (Burrell and Crisp 2008)
- leechSCell/
Elementary mechanisms producing facilitation of Cav2.1 (P/Q-type) channels
- cav21_model/
Ionic basis of alternans and Timothy Syndrome (Fox et al. 2002), (Zhu and Clancy 2007)
- TS_mutation/
Excitation-contraction coupling/mitochondrial energetics (ECME) model (Cortassa et al. 2006)
- GPCv1.0.8/
- GPCv1.0.8/Old_stuff.h
- GPCv1.0.8/cvode/
- GPCv1.0.8/Model 1.0
Temporal integration by stochastic recurrent network (Okamoto et al. 2007)
- Okamoto_etal/
A dual-Ca2+-sensor model for neurotransmitter release in a central synapse (Sun et al. 2007)
- Dual_sensor_model_code/
Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007)
- b07dec17/
Effect of riluzole on action potential in cultured human skeletal muscle cells (Wang YJ et al. 2008)
- SkM_AP/
CA1 pyramidal neuron: calculation of MRI signals (Cassara et al. 2008)
- nc-mri/
JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)
- b07dec27_20091025/
A microcircuit model of the frontal eye fields (Heinzle et al. 2007)
- FEF_DEMO/
Space clamp problems in neurons with voltage-gated conductances (Bar-Yehuda and Korngreen 2008)
- SpaceClampDemo/
- SpaceClampDemo/cells/
Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
- Hadipour-Niktarash2006/
Ca-dependent K Channel: kinetics from rat muscle (Moczydlowski, Latorre 1983) XPP
- IKCa/
Thalamocortical model of spike and wave seizures (Suffczynski et al. 2004)
- CxTh/
Kinetic properties of voltage gated Na channel (Nayak and Sikdar 2007)
- NayakSikdar2007/
Properties of aconitine-induced block of KDR current in NG108-15 neurons (Lin et al. 2008)
- NG108-ACO/
Carbon nanotubes as electrical interfaces to neurons (Giugliano et al. 2008)
- giuglianoEtAl2007/
Activity constraints on stable neuronal or network parameters (Olypher and Calabrese 2007)
- weblink/
- weblink/index_files/
Nigral dopaminergic neurons: effects of ethanol on Ih (Migliore et al. 2008)
- modeldb-etoh/
CellExcite: an efficient simulation environment for excitable cells (Bartocci et al. 2008)
- weblink2cellexcite/
- weblink2cellexcite/index_files/
CA1 pyramidal neuron: functional significance of axonal Kv7 channels (Shah et al. 2008)
- km/
Spontaneous calcium oscillations in astrocytes (Lavrentovich and Hemkin 2008)
- Glia-Ca/
Gap-junction coupled network activity depends on coupled dendrites diameter (Gansert et al. 2007)
- GansertEtAl2007/
Cerebellar Golgi cell (Solinas et al. 2007a, 2007b)
- Golgi_cell/
- Golgi_cell/sessions/
Spike trains in Hodgkin–Huxley model and ISIs of acupuncture manipulations (Wang et al. 2008)
- HH-ext/
Two-cell inhibitory network bursting dynamics captured in a one-dimensional map (Matveev et al 2007)
- matveevEtAl2007/
- matveevEtAl2007/index_files/
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
- GrossbergVersace/
- GrossbergVersace/index_files/
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
- xppcodes/
Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007)
- weblinktomodel/
- weblinktomodel/backup_copy/
- weblinktomodel/backup_copy/Theoretical Neuroscience_files/
Computer simulations of neuron-glia interactions mediated by ion flux (Somjen et al. 2008)
- NEURON-2008b/
MEG of Somatosensory Neocortex (Jones et al. 2007)
- SS-cortex/
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
- VersaceEtAl2008_Kinness/
Dendritic processing of excitatory synaptic input in GnRH neurons (Roberts et al. 2006)
- gnrh_passdend_simfiles/
- gnrh_passdend_simfiles/output/
Hippocampal basket cell gap junction network dynamics (Saraga et al. 2006)
- Basketcell/
Effect of slowly inactivating IKdr to delayed firing of action potentials (Wu et al. 2008)
- JTBfig7/
Brette-Gerstner model (Touboul and Brette 2008)
- TouboulBrette2008/
A comparative computer simulation of dendritic morphology (Donohue and Ascoli 2008)
- Lnded/
- Lnded/lnded2_0_PercentDendroX/
- Lnded/lnded2_0_PercentDendroX/swcparts/
- Lnded/lnded2_0_ParamDendro/
- Lnded/lnded2_0_ParamDendro/swcparts/
Ionic mechanisms of bursting in CA3 pyramidal neurons (Xu and Clancy 2008)
- XuClancy2008/
Na+ channel dependence of AP initiation in cortical pyramidal neuron (Kole et al. 2008)
- NN_kole/
A simplified model of NMDA oscillations in lamprey locomotor neurons (Huss et al. 2008)
- LampreyNMDAosc/
Synergistic inhibitory action of oxcarbazepine on INa and IK (Huang et al. 2008)
- Neuron-OXC/
Efffect of propofol on potassium current in cardiac H9c2 cells (Liu et al. 2008)
- IK-Prop/
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
- SSC_model/
Globus pallidus multi-compartmental model neuron with realistic morphology (Gunay et al. 2008)
- GunayEdgertonJaeger2008/common/
- GunayEdgertonJaeger2008/common/CVS/
- GunayEdgertonJaeger2008/common/gp1_stn/
- GunayEdgertonJaeger2008/common/gp1_stn/CVS/
- GunayEdgertonJaeger2008/common/gp2_stn/
- GunayEdgertonJaeger2008/common/gp2_stn/CVS/
- GunayEdgertonJaeger2008/common/gp3_stn/
- GunayEdgertonJaeger2008/common/gp3_stn/CVS/
- GunayEdgertonJaeger2008/common/gp4_stn/
- GunayEdgertonJaeger2008/common/gp4_stn/CVS/
- GunayEdgertonJaeger2008/common/gp5_stn/
- GunayEdgertonJaeger2008/common/gp5_stn/CVS/
- GunayEdgertonJaeger2008/runs/
- GunayEdgertonJaeger2008/runs/run_sample/
High-Res. Recordings Using a Real-Time Computational Model of the Electrode (Brette et al. 2008)
- weblinkAEC_Code/
Axonal gap junctions produce fast oscillations in cerebellar Purkinje cells (Traub et al. 2008)
- axon_coupled_net/
Laminar connectivity matrix simulation (Weiler et al 2008)
- laminarWsimulation/
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
- plast/
- plast/2mt-s4-w05-w00-e2i3-int220.txt
High frequency oscillations induced in three gap-junction coupled neurons (Tseng et al. 2008)
- HFO/
Axonal NaV1.6 Sodium Channels in AP Initiation of CA1 Pyramidal Neurons (Royeck et al. 2008)
- RoyeckEtAl2008/
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
- antonpdp/
Neural modeling of an internal clock (Yamazaki and Tanaka 2008)
- internalclock/
Polychronization: Computation With Spikes (Izhikevich 2005)
- spnet/
- spnet/backup/
- spnet/backup/Polychronization_ Computation With Spikes_files/
Axonal Projection and Interneuron Types (Helmstaedter et al. 2008)
- HelmstaedterEtAl2008/
- HelmstaedterEtAl2008/index_files/
CA1 pyramidal neuron synaptic integration (Jarsky et al. 2005)
- weblink/
- weblink/index_files/
Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007)
- demo_STA/
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
- DendroDendriticInhibition/
- DendroDendriticInhibition/ShortDendrite/
- DendroDendriticInhibition/LongDendrite/
Dynamics of Spike Initiation (Prescott et al. 2008)
- prescottEtAl2008/
Multimodal stimuli learning in hawkmoths (Balkenius et al. 2008)
- weblink/
A Model of Selection between Stimulus and Place Strategy in a Hawkmoth (Balkenius et al. 2004)
- balkeniusEtAl2004/
- balkeniusEtAl2004/_files/
Pyramidal neurons switch from integrators to resonators (Prescott et al. 2008)
- prescottEtAl2008a/
NEURON + Python (Hines et al. 2009)
- nrnpython/
Modulation of septo-hippocampal theta activity by GABAA receptors (Hajos et al. 2004)
- HajosEtAl2004/
- HajosEtAl2004/theta_download/
- HajosEtAl2004/weblink/
- HajosEtAl2004/weblink/index_files/
A Model of Multiple Spike Initiation Zones in the Leech C-interneuron (Crisp 2009)
- Crisp2009/
- Crisp2009/new.r.tmp
- Crisp2009/new.R
- Crisp2009/new2.R
- Crisp2009/r.r
- Crisp2009/new2.R.tmp
Currents contributing to decision making in neurons B31-B32 of Aplysia (Hurwitz et al. 2008)
- hurwitzEtAl2008/
- hurwitzEtAl2008/with_all_currents_fast_stimulus/
- hurwitzEtAl2008/with_all_currents_slow_stimulus/
Dentate gyrus granule cell: calcium and calcium-dependent conductances (Aradi and Holmes 1999)
- aradi1999/
Spine neck plasticity controls postsynaptic calcium signals (Grunditz et al. 2008)
- SpineCaModel/
Robust Reservoir Generation by Correlation-Based Learning (Yamazaki & Tanaka 2008)
- aans2008/
Broadening of activity with flow across neural structures (Lytton et al. 2008)
- b08dec23/
- b08dec23/xtmp
Multicompartmental cerebellar granule cell model (Diwakar et al. 2009)
- GrC/
- GrC/fig10/
Reward modulated STDP (Legenstein et al. 2008)
- RM_STDP/
- RM_STDP/compsim4/
- RM_STDP/compsim1/
- RM_STDP/compsim5/
- RM_STDP/compsim2_static_current_syn/
- RM_STDP/compsim2_static_current_syn/biofeed.h5
- RM_STDP/compsim1_weightdepend/
- RM_STDP/packages/
- RM_STDP/packages/pyV1/
- RM_STDP/packages/pyV1/learning/
- RM_STDP/packages/pyV1/__init__.py
- RM_STDP/packages/pyV1/utils/
- RM_STDP/packages/pyV1/inputs/
- RM_STDP/packages/pyV1/cluster/
- RM_STDP/packages/speech/
- RM_STDP/packages/reward_gen/
- RM_STDP/packages/reward_gen/pyunit/
- RM_STDP/packages/reward_gen/cppunittests/
- RM_STDP/packages/reward_gen/src/
- RM_STDP/compsim4_static_current_syn/
- RM_STDP/compsim2/
- RM_STDP/compsim2/noise_level/
- RM_STDP/compsim5_static_current_syn/
- RM_STDP/compsim4_weightdepend/
- RM_STDP/compsim1_two_nrns/
- RM_STDP/compsim3/
The virtual slice setup (Lytton et al. 2008)
- b09jan08/
Thalamic interneuron multicompartment model (Zhu et al. 1999)
- b09jan13/
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
- rubin_terman2004/
Python demo of the VmT method to extract conductances from single Vm traces (Pospischil et al. 2009)
- demo_VmT/
Synaptic plasticity can produce and enhance direction selectivity (Carver et al, 2008)
- carver/
- carver/params/
- carver/model/
- carver/util/
- carver/stimuli/
- carver/plots/
Spike frequency adaptation in the LGMD (Peron and Gabbiani 2009)
- modeldb_peron_gabbiani_nn/
- modeldb_peron_gabbiani_nn/nn_par_mat/
- modeldb_peron_gabbiani_nn/nn_par_out/
Fly lobular plate VS cell (Borst and Haag 1996, et al. 1997, et al. 1999)
- vs4_modelDB/
Data-driven, HH-type model of the lateral pyloric (LP) cell in the STG (Nowotny et al. 2008)
- LP_Neuron_ModelDB/
Effects of synaptic location and timing on synaptic integration (Rall 1964)
- rall1964/
Hodgkin-Huxley simplifed 2D and 3D models (Lundstrom et al. 2009)
- LundstromEtAl2009/
Quantal neurotransmitter release kinetics with fixed and mobile Ca2+ buffers (Gilmanov et al. 2008)
- weblink/
- weblink/index_files/
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
- hh/
- iz/
- mex/
Competition for AP initiation sites in a circuit controlling simple learning (Cruz et al. 2007)
- CruzEtAlS_cellModel/
- CruzEtAlS_cellModel/No5HT/
- CruzEtAlS_cellModel/No5HT/2-cell/
- CruzEtAlS_cellModel/No5HT/3cell/
- CruzEtAlS_cellModel/plus5HT/
- CruzEtAlS_cellModel/plus5HT/2-cell/
- CruzEtAlS_cellModel/plus5HT/3cell/
Rat alpha7 nAChR desensitization is modulated by W55 (Gay et al. 2008)
- gayEtAl2008/
Reverse-time correlation analysis for idealized orientation tuning dynamics (Kovacic et al. 2008)
- KovacicEtAl2008/Plot_Min_Max/
- KovacicEtAl2008/Plot_Min_Max/Data/
- KovacicEtAl2008/Plot_Min_Max/Data/datainh/
- KovacicEtAl2008/Plot_Min_Max/Data/datalgn/
- KovacicEtAl2008/Plot_Min_Max/Data/datasii/
- KovacicEtAl2008/Plot_Min_Max/Data/datataui/
- KovacicEtAl2008/Plot_Tuning_Curve/
Experimental and modeling studies of desensitization of P2X3 receptors (Sokolova et al. 2006)
- P2X3/
Simulation system of spinal cord motor nuclei and assoc. nerves and muscles (Cisi and Kohn 2008)
- weblink/
Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008)
- SRM_simulator/
Roles of I(A) and morphology in AP prop. in CA1 pyramidal cell dendrites (Acker and White 2007)
- acker_white/
Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005)
- dssrtweblink/
A model of the femur-tibia control system in stick insects (Stein et al. 2008)
- madSim4.5/
- madSim4.5/parameter/
- madSim4.5/parameter/Rueckkopplungs-Objekte-Dateien/
Ca3 pyramidal neuron: membrane response near rest (Hemond et al. 2009)
- ca3-summ/
Evaluation of stochastic diff. eq. approximation of ion channel gating models (Bruce 2009)
- weblinkBruce09/
- weblinkBruce09/bruce_evalFox_files/
Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
- tagtric/
Moose/PyMOOSE: interoperable scripting in Python for MOOSE (Ray and Bhalla 2008)
- moose_weblink/
Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
- FSGJ_Hjorth2009/
- FSGJ_Hjorth2009/FIG1A/
- FSGJ_Hjorth2009/FIG1A/UTDATA/
- FSGJ_Hjorth2009/FIG1A/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG1A/UTDATA/SAVED/TenFSIFscanHighRES/
- FSGJ_Hjorth2009/FIG1A/FIGS/
- FSGJ_Hjorth2009/FIG1A/INDATA/
- FSGJ_Hjorth2009/FIGS3/
- FSGJ_Hjorth2009/FIGS3/UTDATA/
- FSGJ_Hjorth2009/FIGS3/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIGS3/UTDATA/SAVED/TenFScorrVarJITTER-saveGJcur/
- FSGJ_Hjorth2009/FIGS3/FIGS/
- FSGJ_Hjorth2009/FIGS3/INDATA/
- FSGJ_Hjorth2009/FIGS1C/
- FSGJ_Hjorth2009/FIGS1C/UTDATA/
- FSGJ_Hjorth2009/FIGS1C/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIGS1C/UTDATA/SAVED/LARGEinputResCheck/
- FSGJ_Hjorth2009/FIGS1C/UTDATA/SAVED/LARGEinputResCheck/SecDend/
- FSGJ_Hjorth2009/FIGS1C/FIGS/
- FSGJ_Hjorth2009/FIGS1C/INDATA/
- FSGJ_Hjorth2009/FIG3BC/
- FSGJ_Hjorth2009/FIG3BC/UTDATA/
- FSGJ_Hjorth2009/FIG3BC/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG3BC/UTDATA/SAVED/TenFSGJscanAllUpstate/
- FSGJ_Hjorth2009/FIG3BC/FIGS/
- FSGJ_Hjorth2009/FIG3BC/INDATA/
- FSGJ_Hjorth2009/FIG5D/
- FSGJ_Hjorth2009/FIG5D/UTDATA/
- FSGJ_Hjorth2009/FIG5D/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG5D/UTDATA/SAVED/TenHomoFSGJonoffCurInject/
- FSGJ_Hjorth2009/FIG5D/FIGS/
- FSGJ_Hjorth2009/FIG5D/FIGS/TenFS/
- FSGJ_Hjorth2009/FIG5D/INDATA/
- FSGJ_Hjorth2009/FIGS4/
- FSGJ_Hjorth2009/FIGS4/UTDATA/
- FSGJ_Hjorth2009/FIGS4/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIGS4/UTDATA/SAVED/TenFSGJscanCurInject/
- FSGJ_Hjorth2009/FIGS4/FIGS/
- FSGJ_Hjorth2009/FIGS4/FIGS/TenFS/
- FSGJ_Hjorth2009/FIGS4/INDATA/
- FSGJ_Hjorth2009/genesisScripts/
- FSGJ_Hjorth2009/FIG7B/
- FSGJ_Hjorth2009/FIG7B/conMat/
- FSGJ_Hjorth2009/FIG7B/conMat/sec/
- FSGJ_Hjorth2009/FIG7B/conMat/prim/
- FSGJ_Hjorth2009/FIG5BC/
- FSGJ_Hjorth2009/FIG5BC/UTDATA/
- FSGJ_Hjorth2009/FIG5BC/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG5BC/UTDATA/SAVED/TenFScorrVar-saveGJcur/
- FSGJ_Hjorth2009/FIG5BC/FIGS/
- FSGJ_Hjorth2009/FIG5BC/FIGS/TenFS/
- FSGJ_Hjorth2009/FIG5BC/INDATA/
- FSGJ_Hjorth2009/FIG6/
- FSGJ_Hjorth2009/FIG6/UTDATA/
- FSGJ_Hjorth2009/FIG6/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG6/UTDATA/SAVED/TenFS-higherFreqLessShunt-saveGJcur/
- FSGJ_Hjorth2009/FIG6/UTDATA/SAVED/TenFS-higherFreqLessShunt/
- FSGJ_Hjorth2009/FIG6/FIGS/
- FSGJ_Hjorth2009/FIG6/INDATA/
- FSGJ_Hjorth2009/matlabScripts/
- FSGJ_Hjorth2009/FIGS1/
- FSGJ_Hjorth2009/FIGS1/UTDATA/
- FSGJ_Hjorth2009/FIGS1/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIGS1/UTDATA/SAVED/LARGEFSGJAllUpstateOnlyPrimWrappedNGJscan/
- FSGJ_Hjorth2009/FIGS1/UTDATA/SAVED/LARGEFSGJAllUpstateOnlySecWrappedNGJscan/
- FSGJ_Hjorth2009/FIGS1/FIGS/
- FSGJ_Hjorth2009/FIGS1/INDATA/
- FSGJ_Hjorth2009/FIG4/
- FSGJ_Hjorth2009/FIG4/UTDATA/
- FSGJ_Hjorth2009/FIG4/FIGS/
- FSGJ_Hjorth2009/FIG4/INDATA/
- FSGJ_Hjorth2009/FIGS5/
- FSGJ_Hjorth2009/FIGS5/BlueGene/
- FSGJ_Hjorth2009/FIGS5/BlueGene/nodeScripts/
- FSGJ_Hjorth2009/FIGS5/BlueGene/INDATA/
- FSGJ_Hjorth2009/FIGS5/BlueGene/batchScripts/
- FSGJ_Hjorth2009/FIGS5/UTDATA/
- FSGJ_Hjorth2009/FIGS5/FIGS/
- FSGJ_Hjorth2009/FIGS5/INDATA/
- FSGJ_Hjorth2009/FIGS2/
- FSGJ_Hjorth2009/FIGS2/UTDATA/
- FSGJ_Hjorth2009/FIGS2/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIGS2/FIGS/
- FSGJ_Hjorth2009/FIGS2/INDATA/
- FSGJ_Hjorth2009/FIG1C/
- FSGJ_Hjorth2009/FIG1C/UTDATA/
- FSGJ_Hjorth2009/FIG1C/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG1C/UTDATA/SAVED/ShorterPules/
- FSGJ_Hjorth2009/FIG1C/indata.txt
- FSGJ_Hjorth2009/FIG1C/INDATA/
- FSGJ_Hjorth2009/FIG1C/INDATA/slaveTrain.data
- FSGJ_Hjorth2009/FIG7AC/
- FSGJ_Hjorth2009/FIG7AC/UTDATA/
- FSGJ_Hjorth2009/FIG7AC/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG7AC/UTDATA/SAVED/LARGEFS-shiftingCorrFlag-saveGJcur/
- FSGJ_Hjorth2009/FIG7AC/UTDATA/SAVED/TenFS-shiftingCorrFlag-saveGJcur/
- FSGJ_Hjorth2009/FIG7AC/FIGS/
- FSGJ_Hjorth2009/FIG7AC/INDATA/
- FSGJ_Hjorth2009/FIG7D/
- FSGJ_Hjorth2009/FIG7D/UTDATA/
- FSGJ_Hjorth2009/FIG7D/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG7D/UTDATA/SAVED/LARGEFSGJAllUpstateOnlyPrimWrappedNGJscan/
- FSGJ_Hjorth2009/FIG7D/UTDATA/SAVED/LARGEFSGJAllUpstateOnlySecWrappedNGJscan/
- FSGJ_Hjorth2009/FIG7D/FIGS/
- FSGJ_Hjorth2009/FIG7D/INDATA/
- FSGJ_Hjorth2009/FIG2/
- FSGJ_Hjorth2009/FIG2/UTDATA/
- FSGJ_Hjorth2009/FIG2/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG2/UTDATA/SAVED/upstateDownstate/
- FSGJ_Hjorth2009/FIG2/FIGS/
- FSGJ_Hjorth2009/FIG2/INDATA/
- FSGJ_Hjorth2009/FIG2/SAVED/
- FSGJ_Hjorth2009/FIG3A/
- FSGJ_Hjorth2009/FIG3A/UTDATA/
- FSGJ_Hjorth2009/FIG3A/UTDATA/SAVED/
- FSGJ_Hjorth2009/FIG3A/UTDATA/SAVED/TenFSGJscanAllUpstateStandard/
- FSGJ_Hjorth2009/FIG3A/FIGS/
- FSGJ_Hjorth2009/FIG3A/INDATA/
Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
- varkonyiEtAl2008/
- varkonyiEtAl2008/FIG_4_5_10_11/
- varkonyiEtAl2008/FIG_9_12/
- varkonyiEtAl2008/FIG_2_6_7/
Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
- KulviciusEtAl2008/
Virtual Retina: biological retina simulator, with contrast gain control (Wohrer and Kornprobst 2009)
- weblink2retinaPackage/
- weblink2retinaPackage/index_files/
Calyx of Held, short term plasticity (Yang Z et al. 2009)
- Public release 30-11-08/expdata/
Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
- KoendgenEtAl2008/
- KoendgenEtAl2008/mylibs/
- KoendgenEtAl2008/mechanisms/
- KoendgenEtAl2008/result/
- KoendgenEtAl2008/MATLAB_SANDWICH_MODEL_FIT/
Drosophila projection neuron electrotonic structure (Gouwens and Wilson 2009)
- dm1_pn_model/
Permeation and inactivation of CaV1.2 Ca2+ channels (Babich et al. 2007)
- BabichEtAl2007/
- BabichEtAl2007/index_files/
Facilitation model based on bound Ca2+ (Matveev et al. 2006)
- MatveevEtAl2006/
- MatveevEtAl2006/BCMscripts_files/
Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009)
- OhMatveev2009/
- OhMatveev2009/index_files/
Stochastic automata network Markov model descriptors of coupled Ca2+ channels (Nguyen et al. 2005)
- NguyenEtAl2005/
- NguyenEtAl2005/index_files/
CA1 pyramidal neurons: effects of a Kv7.2 mutation (Miceli et al. 2009)
- mutant/
Facilitation through buffer saturation (Matveev et al. 2004)
- matveevEtAl2004/
- matveevEtAl2004/index_files/
STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
- TalathiEtAl2008/
- TalathiEtAl2008/simul_lrn/
- TalathiEtAl2008/simul_lrn/datalib/
- TalathiEtAl2008/simul_lrn/datalib/CVS/
- TalathiEtAl2008/simul_lrn/CNlib/
- TalathiEtAl2008/simul_lrn/CNlib/CVS/
- TalathiEtAl2008/simul_lrn/numlib/
- TalathiEtAl2008/simul_lrn/numlib/OUTDATED/
- TalathiEtAl2008/simul_lrn/numlib/CVS/
- TalathiEtAl2008/C++HH/
- TalathiEtAl2008/C++HH/Codes/
- TalathiEtAl2008/C++HH/Codes/InhibLearning/
- TalathiEtAl2008/C++HH/Codes/InhibLearning/.2
- TalathiEtAl2008/C++HH/PDrule/
- TalathiEtAl2008/C++HH/Couplingcurrent/
- TalathiEtAl2008/C++HH/Minneuron/
- TalathiEtAl2008/C++HH/Lecar/
- TalathiEtAl2008/C++HH/Markovrule/
- TalathiEtAl2008/C++HH/HHneuron/
- TalathiEtAl2008/C++HH/Henrysynapse/
- TalathiEtAl2008/C++HH/QuadraticNeuron/
- TalathiEtAl2008/C++HH/ITcalcium/
- TalathiEtAl2008/C++HH/NMDAsynapse/
- TalathiEtAl2008/C++HH/IAcurrent/
- TalathiEtAl2008/C++HH/Ihcurrent/
- TalathiEtAl2008/C++HH/HHreduced/
- TalathiEtAl2008/C++HH/Rose/
- TalathiEtAl2008/C++HH/GABAAsynapse/
- TalathiEtAl2008/C++HH/IMcurrent/
- TalathiEtAl2008/C++HH/AMPAsynapse/
- TalathiEtAl2008/C++HH/Lorenz/
- TalathiEtAl2008/C++HH/GABABsynapse/
- TalathiEtAl2008/C++HH/IK12current/
- TalathiEtAl2008/C++HH/IAHPcurrent/
- TalathiEtAl2008/C++HH/Henrycalcium/
- TalathiEtAl2008/C++HH/TwoDsynapse/
- TalathiEtAl2008/C++HH/test/
- TalathiEtAl2008/C++HH/Izhineuron/
- TalathiEtAl2008/C++HH/ILcalcium/
- TalathiEtAl2008/C++HH/Insynapse/
- TalathiEtAl2008/C++HH/Synapse/
- TalathiEtAl2008/C++HH/STFDsynapse/
New and corrected simulations of synaptic facilitation (Matveev et al. 2002)
- MatveevEtAl2002/
- MatveevEtAl2002/index_files/
Computational neuropharmacology of CA1 pyramidal neuron (Ferrante et al. 2008)
- FerranteEtAl2008/
Transmitter release and Ca diffusion models (Yamada and Zucker 1992)
- YamadaZucker1992/
- YamadaZucker1992/index_files/
TTX-R Na+ current effect on cell response (Herzog et al 2001) (MATLAB)
- HerzogEtAl2001/
A finite volume method for stochastic integrate-and-fire models (Marpeau et al. 2009)
- weblink2neuro-fviv/
A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009)
- SupplementalCodes_ShortTermPlasticity_JCNS/
- SupplementalCodes_ShortTermPlasticity_JCNS/Input/
- SupplementalCodes_ShortTermPlasticity_JCNS/Output/
Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
- weblink2ChanrasekaranEtAl2009/
- weblink2ChanrasekaranEtAl2009/index_files/
Contribution of ATP-sensitive potassium channels in the neuronal network (Huang et al. 2009)
- Network-Katp/
Action potential of adult rat ventricle (Wang et al. 2008)
- RatAP/
A nicotinic acetylcholine receptor kinetic model (Edelstein et al. 1996)
- Edelstein1996/
Nodose sensory neuron (Schild et al. 1994, Schild and Kunze 1997)
- schildEtAl1994_1997/
Sodium potassium ATPase pump (Chapman et al. 1983)
- kootsey83/dynamic/
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
- GeneratingOscillatoryBursts/
- GeneratingOscillatoryBursts/ParameterScan/
- GeneratingOscillatoryBursts/ParameterScan/L10IpcInputNoise/
- GeneratingOscillatoryBursts/ParameterScan/tsravsDgsra/
- GeneratingOscillatoryBursts/ParameterScan/WL10IpcIpcSpon/
- GeneratingOscillatoryBursts/ParameterScan/WidthvsWidth/
- GeneratingOscillatoryBursts/ParameterScan/WL10IpcL10Spon/
Membrane potential changes in dendritic spines during APs and synaptic input (Palmer & Stuart 2009)
- PalmerStuart2009/
A model of beta-adrenergic modulation of IKs in the guinea-pig ventricle (Severi et al. 2009)
- SeveriEtAl2009/
Mechanisms of very fast oscillations in axon networks coupled by gap junctions (Munro, Borgers 2010)
- Munro_Borgers_2009/
- Munro_Borgers_2009/5_compartment_model/
- Munro_Borgers_2009/cellular_automata/
- Munro_Borgers_2009/MATLAB_files/
- Munro_Borgers_2009/Traub1999_reproduction/
Electrically-coupled Retzius neurons (Vazquez et al. 2009)
- ElectricallycoupledRetziusneurons/
Submyelin Potassium accumulation in Subthalamic neuron (STN) axons (Bellinger et al. 2008)
- stnAxonDbsModel/
Small world networks of Type I and Type II Excitable Neurons (Bogaard et al. 2009)
- bogaard2009/
Thalamic neuron: Modeling rhythmic neuronal activity (Meuth et al. 2005)
- MeuthEtAl2005_local/
- MeuthEtAl2005_local/model/
- MeuthEtAl2005_local/model/1/
- MeuthEtAl2005_local/model/2/
- MeuthEtAl2005_local/model/3/
- MeuthEtAl2005_local/model/4/
- MeuthEtAl2005_local/model/mechanism/
- MeuthEtAl2005_local/pub_files/
Software for teaching neurophysiology of neuronal circuits (Grisham et al. 2008)
- Swimmy/
- Swimmy/SwimmyGUI/
- Swimmy/SwimmyGUI/bin/
- Swimmy/SwimmyGUI/bin/scalar
- Swimmy/SwimmyGUI/lib/
- Swimmy/SwimmyGUI/lib/hoc/
- Swimmy/SwimmyGUI/lib/hoc/celbild/
- Swimmy/SwimmyGUI/lib/hoc/mulfit/
- Swimmy/SwimmyGUI/lib/hoc/lincir/
- Swimmy/SwimmyGUI/lib/hoc/netbild/
- Swimmy/SwimmyGUI/nrnpgms/
- Swimmy/SwimmyGUI/nrnpgms/swim/
- Swimmy/SwimmyGUI/nrnpgms/Raster.dat
- Swimmy/SwimmyGUI/nrnpgms/Act.dat
- Swimmy/SwimmyGUI/nrnpgms/W.DAT
- Swimmy/swimmy_files/
Model of SK current`s influence on precision in Globus Pallidus Neurons (Deister et al. 2009)
- GPSingleCompartment/
Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
- ERTM_folder/
- ERTM_folder/sims/
- ERTM_folder/analysis_CN_TAL/
Tight junction model of CNS myelinated axons (Devaux and Gow 2008)
- Gow_Devaux_2009/
- Gow_Devaux_2009/screenshots/
CONFIGR: a vision-based model for long-range figure completion (Carpenter et al. 2007)
- CONFIGR_matlab/
Effect of voltage sensitive fluorescent proteins on neuronal excitability (Akemann et al. 2009)
- AkemannEtAl2009/
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
- Hipp_paper_code/
- Hipp_paper_code/Weights/
- Hipp_paper_code/Results/
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
- thomas2009a/parplex/
- thomas2009a/
Action Potential initiation and backpropagation in Neocortical L5 Pyramidal Neuron (Hu et al. 2009)
- HuEtAl2009/recording/normAp.dat
Complex CA1-neuron to study AP initiation (Wimmer et al. 2010)
- Wimmer-et-al2009/
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
- masquelierEtAl2009/
- masquelierEtAl2009/data/
- masquelierEtAl2009/src/
Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
- OlfactmodelBioSystems/
Neural model of frog ventilatory rhythmogenesis (Horcholle-Bossavit and Quenet 2009)
- RespirGeneratorBioSystems/
A contracting model of the basal ganglia (Girard et al. 2008)
- CBG_distributable/
- CBG_distributable/log/
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
- FFI/
- FFI/MOPP_Fig_1B_left/
- FFI/Granule_Fig_1B_right/
Alternative time representation in dopamine models (Rivest et al. 2009)
- Rivest09Code/
- Rivest09Code/classes/
- Rivest09Code/classes/lnsc/
- Rivest09Code/classes/lnsc/unsup/
- Rivest09Code/classes/lnsc/pmvf/
- Rivest09Code/classes/lnsc/page/
- Rivest09Code/classes/lnsc/lstm/
- Rivest09Code/classes/stimulusdelayreward/
- Rivest09Code/classes/package cache/
- Rivest09Code/classes/stimdelrew/
- Rivest09Code/classes/grsnc/
- Rivest09Code/classes/grsnc/binb/
- Rivest09Code/classes/stimulusdelayrewardanalyzer/
- Rivest09Code/doc/
- Rivest09Code/doc/lnsc/
- Rivest09Code/doc/lnsc/unsup/
- Rivest09Code/doc/lnsc/pmvf/
- Rivest09Code/doc/lnsc/page/
- Rivest09Code/doc/lnsc/lstm/
- Rivest09Code/doc/stimulusdelayreward/
- Rivest09Code/doc/stimdelrew/
- Rivest09Code/doc/grsnc/
- Rivest09Code/doc/grsnc/binb/
- Rivest09Code/doc/stimulusdelayrewardanalyzer/
- Rivest09Code/src/
- Rivest09Code/src/lnsc/
- Rivest09Code/src/lnsc/unsup/
- Rivest09Code/src/lnsc/pmvf/
- Rivest09Code/src/lnsc/page/
- Rivest09Code/src/lnsc/lstm/
- Rivest09Code/src/stimulusdelayreward/
- Rivest09Code/src/stimdelrew/
- Rivest09Code/src/grsnc/
- Rivest09Code/src/grsnc/binb/
- Rivest09Code/src/stimulusdelayrewardanalyzer/
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
- thomas2009b/
- thomas2009b/parplex/
Dendritic Na+ spike initiation and backpropagation of APs in active dendrites (Nevian et al. 2007)
- nevian/
Dentate gyrus (Morgan et al. 2007, 2008, Santhakumar et al. 2005, Dyhrfjeld-Johnsen et al. 2007)
- dentate_gyrus/
- dentate_gyrus/500net/
Reduced leech heart interneuron (Channell et al. 2009)
- ChannellEtAl2009/
CA1 pyramidal neuron to study INaP properties and repetitive firing (Uebachs et al. 2010)
- Uebachs-et-al_2010/
Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
- LEV-study/
Maximum entropy model to predict spatiotemporal spike patterns (Marre et al. 2009)
- i2m-matlab/
- i2m-matlab/FigurePlot/
- i2m-matlab/Figures/
- i2m-matlab/InfoTools/
- i2m-matlab/Common/
- i2m-matlab/Workspace/
- i2m-matlab/Glauber/
- i2m-matlab/Surrogate/
- i2m-matlab/LoadRaster/
Availability of low-threshold Ca2+ current in retinal ganglion cells (Lee SC et al. 2003)
- leeEtAl2003/
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
- RubinEtAlJNeuro2009/
Ca2+ current versus Ca2+ channel cooperativity of exocytosis (Matveev et al. 2009)
- Matveev/
- Matveev/index_files/
Deterministic chaos in a mathematical model of a snail neuron (Komendantov and Kononenko 1996)
- KomendantovEtAl1996/
Hippocampus CA1: Temporal sensitivity of signaling pathways underlying LTP (Kim et al. 2010)
- Blackwell/
Calcium waves in neuroblastoma cells (Fink et al. 2000)
- fink2000/
Huntington`s disease model (Gambazzi et al. 2010)
- giugliano/
- giugliano/config_files/
- giugliano/libs/
- giugliano/matlab/
- giugliano/simulation_results/
- giugliano/source/
Long-term adaptation with power-law dynamics (Zilany et al. 2009)
- weblink125855/
- weblink125855/index_files/
- weblink125855/auditory-models.cfm_files/
A Fast Rhythmic Bursting Cell: in vivo cell modeling (Lee 2007)
- FRB/
Integrate and fire model code for spike-based coincidence-detection (Heinz et al. 2001, others)
- HeinzEtAl2001etcWeblink/
- HeinzEtAl2001etcWeblink/index_files/
Model of neural responses to amplitude-modulated tones (Nelson and Carney 2004)
- NelsonCarneyJASA2004/
Encoding and discrimination of vowel-like sounds (Tan and Carney 2005)
- TanCarney2005/
Auditory nerve spontaneous rate histograms (Jackson and Carney 2005)
- JacksonCarney2005/
- JacksonCarney2005/run_mac2unix.reminder
Response properties of an integrate and fire model (Zhang and Carney 2005)
- ZhangCarney2005/
Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010)
- localisation/data/
- localisation/data/hrtf_attenuation/
- localisation/data/itdild/
Cardiac sarcomere dynamics (Negroni and Lascano 1996)
- NegroniLascano/
Formation of synfire chains (Jun and Jin 2007)
- synfireGrowth/
Models analysis for auditory-nerve synapse (Zhang and Carney 2005)
- weblinkZhangEtAl2005/
Predicting formant-frequency discrimination in noise (Tan and Carney 2006)
- TanEtAlCarney2006/
Models for diotic and dichotic detection (Davidson et al. 2009)
- DavidsonCarney2009/
- DavidsonCarney2009/brebart/
- DavidsonCarney2009/dau/
A simplified cerebellar Purkinje neuron (the PPR model) (Brown et al. 2011)
- purkinje_ppr/
CA1 pyramidal neuron: rebound spiking (Ascoli et al.2010)
- rebound/
CA3 pyramidal neuron (Safiulina et al. 2010)
- develop/
CN bushy, stellate neurons (Rothman, Manis 2003) (Brian)
- Rothman_Manis_2003/
Alcohol excites Cerebellar Golgi Cells by inhibiting the Na+/K+ ATPase (Botta et al.2010)
- Golgi_cell_NaKATPAse/
- Golgi_cell_NaKATPAse/sessions/
Control of vibrissa motoneuron firing (Harish and Golomb 2010)
- vmn/
Pipette and membrane patch geometry effects on GABAa currents patch-clamp exps (Moroni et al. 2011)
- Archive/
- Archive/matlab/
Network topologies for producing limited sustained activation (Kaiser and Hilgetag 2010)
- kaiser2010/
Spatial summation of excitatory and inhibitory inputs in pyramidal neurons (Hao et al. 2010)
- weblinkHaoEtAl2009/
A model of the temporal pattern generator of C. elegans egg-laying behavior (Zhang et. al 2010)
- ZhangEtAl2010/
A two-stage model of dendritic integration in CA1 pyramidal neurons (Katz et al. 2009)
- weblink/
- weblink/2stageintegration_files/
Prediction for the presence of voltage-gated Ca2+ channels in myelinated central axons (Brown 2003)
- AP-Sim-Ca/
Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)
- BGnet/
Regulation of firing frequency in a midbrain dopaminergic neuron model (Kuznetsova et al. 2010)
- KuznetsovaEtAl2010/
Comparison of full and reduced globus pallidus models (Hendrickson 2010)
- articleCode/
- articleCode/commonGPRedu/
- articleCode/scripts/
- articleCode/scripts/genesisScripts/
- articleCode/scripts/genesisScripts/genesisFiles/
- articleCode/scripts/genesisScripts/genesisFiles/dendSpikeInitData/
- articleCode/scripts/genesisScripts/genesisFiles/passiveData/
- articleCode/scripts/genesisScripts/genesisFiles/dendriticCurrentInjectionData/
- articleCode/parameterSets/
- articleCode/commonGPFull/
- articleCode/commonGPFull/timetables/
Global structure, robustness, and modulation of neuronal models (Goldman et al. 2001)
- GoldmanEtAl2001/
- GoldmanEtAl2001/SavedCases/
- GoldmanEtAl2001/ZhengModel2/
- GoldmanEtAl2001/ZhengModel2/res/
Spectral method and high-order finite differences for nonlinear cable (Omurtag and Lytton 2010)
- aomurtag_cable/
- aomurtag_cable/mfiles/
Generating coherent patterns of activity from chaotic neural networks (Sussillo and Abbott 2009)
- weblink/
- weblink/force_simple_examples/
Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
- HHcn/
- HHcn/python/
- HHcn/C/
- HHcn/C/sodium/
- HHcn/C/sodium/src/
- HHcn/C/potassium/
- HHcn/C/potassium/src/
- HHcn/matlab/
- HHcn/mod-files/
- HHcn/supplem/
- HHcn/supplem/FigS3/
- HHcn/supplem/FigS4/
- HHcn/supplem/FigS2/
- HHcn/supplem/FigS1/
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
- weblink/index_files/
Stochastic ion channels and neuronal morphology (Cannon et al. 2010)
- CannonEtAl2010/
- CannonEtAl2010/figs6and7/
- CannonEtAl2010/fig5/
- CannonEtAl2010/fig5/slowTmformodelDb/
- CannonEtAl2010/fig5/slowTmformodelDb/equivalentcable_fastleaks/
- CannonEtAl2010/fig5/slowTmformodelDb/branchedtree_fastleaks/
- CannonEtAl2010/fig5/slowTmformodelDb/branchedtree_slowleaks/
- CannonEtAl2010/fig5/slowTmformodelDb/equivalentcable_slowleaks/
- CannonEtAl2010/fig2/
- CannonEtAl2010/fig2/VarianceMean/
- CannonEtAl2010/figs8and9/
Short term plasticity at the cerebellar granule cell (Nieus et al. 2006)
- ShortTermPlasticityMFGRC_Nieus2006/
On stochastic diff. eq. models for ion channel noise in Hodgkin-Huxley neurons (Goldwyn et al. 2010)
- ModelDBFolder/
Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
- ZilliHasselmo2010/
Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007)
- mRF_model_distributable/
- mRF_model_distributable/LI_network_toolbox/
Dopamine-modulated medium spiny neuron, reduced model (Humphries et al. 2009)
- HLWG_Frontiers_Code/
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
- NN2009_striatum_model/
- NN2009_striatum_model/Tools/
- NN2009_striatum_model/CreateNetwork/
- NN2009_striatum_model/Simulation/
- NN2009_striatum_model/Analyses/
Synthesis of spatial tuning functions from theta cell spike trains (Welday et al., 2011)
- Welday_et_al/Welday_et_al_Fig1/
- Welday_et_al/Welday_et_al_Fig7AC/
- Welday_et_al/Welday_et_al_Fig9AB/
- Welday_et_al/Welday_et_al_Fig9C/
Continuous time stochastic model for neurite branching (van Elburg 2011)
- ContinuousTimeDendriticBranchingModel/
- ContinuousTimeDendriticBranchingModel/mat-files/
- ContinuousTimeDendriticBranchingModel/mexhandle/
- ContinuousTimeDendriticBranchingModel/figures/
Increased computational accuracy in multi-compartmental cable models (Lindsay et al. 2005)
- LindsayEtAl2005/
Action potential reconstitution from measured current waveforms (Alle et al. 2009)
- Alle_et_al_2009/
AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
- McCormickEtAl2007YuEtAl2008/neuron_soma.dat
Selective control of cortical axonal spikes by a slowly inactivating K+ current (Shu et al. 2007)
- YuEtAlPNAS2007/
High frequency oscillations in a hippocampal computational model (Stacey et al. 2009)
- SRandCRnet/
- SRandCRnet/parameters/
- SRandCRnet/parameters/different conn_dat files/
- SRandCRnet/library/
- SRandCRnet/data/
- SRandCRnet/mod/
- SRandCRnet/templates/
Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)
- Recruitnet/data/
- Recruitnet/mod/
- Recruitnet/parameters/
- Recruitnet/parameters/different recruitconn_dat files/
- Recruitnet/templates/
Modelling enteric neuron populations and muscle fed-state motor patterns (Chambers et al. 2011)
- ChamberEtAl2010/
Functional structure of mitral cell dendritic tuft (Djurisic et al. 2008)
- djurisic2008/
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
- ncdemo/
Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
- mouse_ORN_multiscale/
Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010)
- cn_neuron_genesis_steuber_et_al/
- cn_neuron_genesis_steuber_et_al/data/
Myelinated nerve fibre myelin resistance dependent on extracellular K+ level (Brazhe et al. 2010)
- myelin-resistance-intermittent-block/
Wang-Buzsaki Interneuron (Talathi et al., 2010)
- JCNS-2010-CodeAndData/C++HH/
- JCNS-2010-CodeAndData/C++HH/AMPAsynapse/
- JCNS-2010-CodeAndData/C++HH/Codes/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/Data/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/Data/Data-Fig12/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/Data/Data-Fig12/Volt.dat
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/Data/Data-Fig5/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/Data/Data-Fig5/Old/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/Data/Data-Fig6D/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/Data/Data-Fig7/
- JCNS-2010-CodeAndData/C++HH/Codes/OptoControl/MatlabFiles/
- JCNS-2010-CodeAndData/C++HH/Couplingcurrent/
- JCNS-2010-CodeAndData/C++HH/GABAAsynapse/
- JCNS-2010-CodeAndData/C++HH/GABABsynapse/
- JCNS-2010-CodeAndData/C++HH/Henrycalcium/
- JCNS-2010-CodeAndData/C++HH/Henrysynapse/
- JCNS-2010-CodeAndData/C++HH/HHneuron/
- JCNS-2010-CodeAndData/C++HH/HHreduced/
- JCNS-2010-CodeAndData/C++HH/IAcurrent/
- JCNS-2010-CodeAndData/C++HH/IAHPcurrent/
- JCNS-2010-CodeAndData/C++HH/Ihcurrent/
- JCNS-2010-CodeAndData/C++HH/IK12current/
- JCNS-2010-CodeAndData/C++HH/ILcalcium/
- JCNS-2010-CodeAndData/C++HH/IMcurrent/
- JCNS-2010-CodeAndData/C++HH/Insynapse/
- JCNS-2010-CodeAndData/C++HH/IOpto/
- JCNS-2010-CodeAndData/C++HH/ITcalcium/
- JCNS-2010-CodeAndData/C++HH/Izhineuron/
- JCNS-2010-CodeAndData/C++HH/Lecar/
- JCNS-2010-CodeAndData/C++HH/Lorenz/
- JCNS-2010-CodeAndData/C++HH/LumpedNeuron/
- JCNS-2010-CodeAndData/C++HH/LumpedSynapse/
- JCNS-2010-CodeAndData/C++HH/Markovrule/
- JCNS-2010-CodeAndData/C++HH/Minneuron/
- JCNS-2010-CodeAndData/C++HH/NMDAsynapse/
- JCNS-2010-CodeAndData/C++HH/PDrule/
- JCNS-2010-CodeAndData/C++HH/QuadraticNeuron/
- JCNS-2010-CodeAndData/C++HH/Rose/
- JCNS-2010-CodeAndData/C++HH/STFDsynapse/
- JCNS-2010-CodeAndData/C++HH/Synapse/
- JCNS-2010-CodeAndData/C++HH/test/
- JCNS-2010-CodeAndData/C++HH/TwoDsynapse/
- JCNS-2010-CodeAndData/simul_lrn/
- JCNS-2010-CodeAndData/simul_lrn/CNlib/
- JCNS-2010-CodeAndData/simul_lrn/CNlib/CVS/
- JCNS-2010-CodeAndData/simul_lrn/datalib/
- JCNS-2010-CodeAndData/simul_lrn/datalib/CVS/
- JCNS-2010-CodeAndData/simul_lrn/numlib/
- JCNS-2010-CodeAndData/simul_lrn/numlib/CVS/
- JCNS-2010-CodeAndData/simul_lrn/numlib/OUTDATED/
Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
- Munro_Kopell_corticalcontrol/MATLAB/
- Munro_Kopell_corticalcontrol/MATLAB/collective_data/
- Munro_Kopell_corticalcontrol/NEURON/
- Munro_Kopell_corticalcontrol/NEURON/cell_geoms/
- Munro_Kopell_corticalcontrol/NEURON/run_files/
Modeling local field potentials (Bedard et al. 2004)
- LFP/
Globus pallidus neuron models with differing dendritic Na channel expression (Edgerton et al., 2010)
- Edgerton_etal_2010_GPmodel/
- Edgerton_etal_2010_GPmodel/shellscripts/
- Edgerton_etal_2010_GPmodel/run_example/
- Edgerton_etal_2010_GPmodel/run_example/data_slice/
- Edgerton_etal_2010_GPmodel/run_example/data_vivo/
- Edgerton_etal_2010_GPmodel/matlab_reader/
- Edgerton_etal_2010_GPmodel/common/
- Edgerton_etal_2010_GPmodel/common/biophysics/
- Edgerton_etal_2010_GPmodel/common/functions/
- Edgerton_etal_2010_GPmodel/common/morphol/
- Edgerton_etal_2010_GPmodel/common/comptlists/
- Edgerton_etal_2010_GPmodel/common/library/
Neural transformations on spike timing information (Tripp and Eliasmith 2007)
- TrippEliasmith2007/exp/
- TrippEliasmith2007/fig/
- TrippEliasmith2007/lib/
Action potential-evoked Na+ influx are similar in axon and soma (Fleidervish et al. 2010)
- FleidervishEtAl2010/
- FleidervishEtAl2010/MechanismsVer7.1/
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
- GilsonEtAl2011/
- GilsonEtAl2011/data/
- GilsonEtAl2011/src/
Single neuron with dynamic ion concentrations (Cressman et al. 2009)
- CressmanEtAl2009/
Population models of temporal differentiation (Tripp and Eliasmith 2010)
- TrippEliasmith2010/
- TrippEliasmith2010/python/
- TrippEliasmith2010/java/
- TrippEliasmith2010/java/main/
- TrippEliasmith2010/java/main/com/
- TrippEliasmith2010/java/main/com/bptripp/
- TrippEliasmith2010/java/main/com/bptripp/diff/
Democratic population decisions result in robust policy-gradient learning (Richmond et al. 2011)
- RichmondEtAl2011/
- RichmondEtAl2011/output/
Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
- demo_modelDB/
- demo_modelDB/functions_v0.4/
Effect of trp-like current on APs during exposure to sinusoidal voltage (Chen et al. 2010)
- V_trp/
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
- PLoSCB_2010_striatum_model/
- PLoSCB_2010_striatum_model/CreateNetwork/
- PLoSCB_2010_striatum_model/Analyses/
- PLoSCB_2010_striatum_model/Simulation/
- PLoSCB_2010_striatum_model/Simulation/OLD/
Model of long range transmission of gamma oscillation (Murray 2007)
- Murray2007/
Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
- vmo_feedback/
- vmo_feedback/doc/
- vmo_feedback/src/
- vmo_feedback/src/core/
- vmo_feedback/src/figures/
- vmo_feedback/src/remapping/
- vmo_feedback/src/tools/
- vmo_feedback/src/tools/__init__.py
- vmo_feedback/src/trajectory/
Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
- HooksEtAl2011/
CA1 pyramidal: Stochastic amplification of KCa in Ca2+ microdomains (Stanley et al. 2011)
- KCa_minimal_model/
Spike exchange methods for a Blue Gene/P supercomputer (Hines et al., 2011)
- Hines2011/
- Hines2011/dat/
GP Neuron, somatic and dendritic phase response curves (Schultheiss et al. 2011)
- SchultheissEtAl2011/
Vectorized algorithms for spiking neural network simulation (Brette and Goodman 2011)
- BretteGoodman2011weblink/
HMM of Nav1.7 WT and F1449V (Gurkiewicz et al. 2011)
- FV/
CA1 pyramidal neuron: schizophrenic behavior (Migliore et al. 2011)
- Schizophr/
Stochastic 3D model of neonatal rat spinal motoneuron (Ostroumov 2007)
- NeuroMorph/
- NeuroMorph/Motoneuron-MorphoLogy/
- NeuroMorph/Motoneuron-MorphoLogy/neuron/
- NeuroMorph/readme_files/
- NeuroMorph/readme_files/NeuroMorphology text_files/
Mechanisms of magnetic stimulation of central nervous system neurons (Pashut et al. 2011)
- pashut2011/
- pashut2011/OneDimension/
- pashut2011/OneDimension/Neuron/
- pashut2011/TwoDimensions/
- pashut2011/TwoDimensions/fieldCalc/
- pashut2011/TwoDimensions/Neuron/
- pashut2011/TwoDimensions/Neuron/cells/
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
- fdemo/
Controlling KCa channels with different Ca2+ buffering models in Purkinje cell (Anwar et al. 2012)
- AnwarEtAl2010/
Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011)
- weblinkToKopellEtAl2010/
Prefrontal–striatal Parkinsons comp. model of multicue category learning (Moustafa and Gluck 2011)
- MoustafaGluck2011weblink/
A neurocomputational model of classical conditioning phenomena (Moustafa et al. 2009)
- MoustafaEtAl2009weblink/
Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011)
- GoldwynShea-Brown2011/
Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
- grid_remap/
- grid_remap/doc/
- grid_remap/src/
- grid_remap/src/analysis/
- grid_remap/src/core/
- grid_remap/src/tools/
- grid_remap/src/tools/__init__.py
Interacting synaptic conductances during, distorting, voltage clamp (Poleg-Polsky and Diamond 2011)
- Poleg-PolskyDiamond2011/
Single neuron with ion concentrations to model anoxic depolarization (Zandt et al. 2011)
- ZandtEtAl2011/
A spatially extended model for macroscopic spike-wave discharges (Taylor and Baier 2011)
- TaylorBaier2011/
- TaylorBaier2011/1location/
- TaylorBaier2011/1d/
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
- hpcdemo/
Mathematics for Neuroscientists (Gabbiani and Cox 2010)
- GabbianiCox2010/
L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011)
- L5bPCmodelsEH/
- L5bPCmodelsEH/simulationcode/
- L5bPCmodelsEH/morphologies/
- L5bPCmodelsEH/models/
- L5bPCmodelsEH/model sets/
- L5bPCmodelsEH/mod/
- L5bPCmodelsEH/model sets/Fig6d_black-set/
- L5bPCmodelsEH/model sets/Fig3_red-set/
- L5bPCmodelsEH/model sets/Fig3_black-set/
- L5bPCmodelsEH/model sets/Fig7d_red-set/
- L5bPCmodelsEH/model sets/Fig6d_red-set/
- L5bPCmodelsEH/model sets/Fig6e_red-set/
Frog second-order vestibular neuron models (Rossert et al. 2011)
- 2VN/
Hippocampus CA1: Simulations of LTP signaling pathways (Kim M et al. 2011)
- Blackwell2011/
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011)
- network/
Superior paraolivary nucleus neuron (Kopp-Scheinpflug et al. 2011)
- Kopp-Scheinpflug2011/
Model of peristalsis in the dorsal blood vessel of Lumbriculus variegatus (Halfmann and Crisp 2011)
- HalfmannCrisp2011/
Reconstructing cerebellar granule layer evoked LFP using convolution (ReConv) (Diwakar et al. 2011)
- ReConv/
- ReConv/data/
- ReConv/data/Invitro/
- ReConv/data/Invivo/
Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
- ModelDB_June2011/
- ModelDB_June2011/matlab/
Dorsal root ganglion (DRG) neuronal model (Kovalsky et al. 2009)
- DRG_Devor/
- DRG_Devor/out.txt
A simple integrative electrophysiological model of bursting GnRH neurons (Csercsik et al. 2011)
- GnRH_Csercsik2011_weblink/
A multi-compartment model for interneurons in the dLGN (Halnes et al. 2011)
- dLGN_modelDB/
Firing patterns in stuttering fast-spiking interneurons (Klaus et al. 2011)
- fsn-stutt/
- fsn-stutt/matlab/
- fsn-stutt/startup/
- fsn-stutt/input/
- fsn-stutt/input/gaba/
- fsn-stutt/input/ampa/
- fsn-stutt/channels/
- fsn-stutt/output/
Four cortical interneuron subtypes (Kubota et al. 2011)
- KubotaEtAl2011/
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
- ELLcancelmodel/
Shaping of action potentials by different types of BK channels (Jaffe et al., 2011)
- Figure5/
- Figure5/mods/
Dipole Localization Kit (Mechler & Victor, 2012)
- MechlerVictor2011weblink/
CA3 Radiatum/Lacunosum-Moleculare interneuron, Ih (Anderson et al. 2011)
- ModelDB/
- ModelDB/Fig6A and S6/
- ModelDB/Fig6/
- ModelDB/Fig7/
Motoneuron model of self-sustained firing after spinal cord injury (Kurian et al. 2011)
- kurian_crook_jung_2011/
Detailed passive cable model of Dentate Gyrus Basket Cells (Norenberg et al. 2010)
- DG_BC/
- DG_BC/Figure_2/
- DG_BC/NEURON-models/
Dendritic Discrimination of Temporal Input Sequences (Branco et al. 2010)
- Branco_2010/
- Branco_2010/mod.files/
- Branco_2010/.git/
- Branco_2010/.git/objects/
- Branco_2010/.git/info/
- Branco_2010/.git/logs/
- Branco_2010/.git/hooks/
- Branco_2010/.git/refs/
- Branco_2010/.git/branches/
- Branco_2010/.git/objects/35/
- Branco_2010/.git/objects/3c/
- Branco_2010/.git/objects/02/
- Branco_2010/.git/objects/b3/
- Branco_2010/.git/objects/a2/
- Branco_2010/.git/objects/bd/
- Branco_2010/.git/objects/bc/
- Branco_2010/.git/objects/27/
- Branco_2010/.git/objects/pack/
- Branco_2010/.git/objects/7c/
- Branco_2010/.git/objects/89/
- Branco_2010/.git/objects/8f/
- Branco_2010/.git/objects/10/
- Branco_2010/.git/objects/81/
- Branco_2010/.git/objects/info/
- Branco_2010/.git/objects/96/
- Branco_2010/.git/objects/3f/
- Branco_2010/.git/objects/30/
- Branco_2010/.git/objects/5e/
- Branco_2010/.git/objects/a0/
- Branco_2010/.git/objects/d5/
- Branco_2010/.git/objects/de/
- Branco_2010/.git/objects/c4/
- Branco_2010/.git/objects/cc/
- Branco_2010/.git/objects/f7/
- Branco_2010/.git/objects/e8/
- Branco_2010/.git/objects/ff/
- Branco_2010/.git/objects/83/
- Branco_2010/.git/objects/70/
- Branco_2010/.git/objects/1e/
- Branco_2010/.git/objects/8d/
- Branco_2010/.git/objects/12/
- Branco_2010/.git/objects/47/
- Branco_2010/.git/objects/14/
- Branco_2010/.git/objects/25/
- Branco_2010/.git/logs/refs/
- Branco_2010/.git/refs/heads/
- Branco_2010/.git/refs/tags/
- Branco_2010/.git/refs/remotes/
- Branco_2010/.git/logs/refs/heads/
- Branco_2010/.git/logs/refs/remotes/
- Branco_2010/.git/refs/remotes/origin/
- Branco_2010/.git/logs/refs/remotes/origin/
Computational Surgery (Lytton et al. 2011)
- b11aug17/
Event-related simulation of neural processing in complex visual scenes (Mihalas et al. 2011)
- weblink/
Measuring neuronal identification quality in ensemble recordings (isoitools) (Neymotin et al. 2011)
- isoitools/
- isoitools/src/
- isoitools/src/isorat/
- isoitools/src/wave2f/
- isoitools/src/isoi/
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
- ModelDB.JCNS/
- ModelDB.JCNS/mat/
- ModelDB.JCNS/mat/spikes.spk
- ModelDB.JCNS/src/
Role of Ih in firing patterns of cold thermoreceptors (Orio et al., 2012)
- HBplusIh/
A four compartmental model for ABPD complex in crustacean pyloric network (Maran et al. 2011)
- multicompartmentABPDcomplex_model/
Multiscale interactions between chemical and electric signaling in LTP (Bhalla 2011)
- Bhalla2011/
Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
- LTDmodel/
Simple and accurate Diffusion Approximation algor. for stochastic ion channels (Orio & Soudry 2012)
- DAmodel/
- DAmodel/HH_model/
- DAmodel/HH_model/Matlab/
- DAmodel/HH_model/Neuron/
- DAmodel/Rb model/
- DAmodel/Rb model/Matlab/
- DAmodel/Rb model/Scilab/
- DAmodel/Vclamp/
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
- Vierling-ClaassenEtAl2010/
- Vierling-ClaassenEtAl2010/confiles/
- Vierling-ClaassenEtAl2010/batchsims/
- Vierling-ClaassenEtAl2010/confiles/con_2-3-2010-1/
- Vierling-ClaassenEtAl2010/confiles/con_2-3-2010-1/Con_SS.dat
Biophysically detailed model of the mouse sino-atrial node cell (Kharche et al. 2011)
- Kharche_SAN/
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
- neuroprosthesis/
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
- AndersonEtAl2011/
Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)
- BGnetwork/
- BGnetwork/gating/
Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010)
- ErmentroutTerman/
Two Models for synaptic input statistics for the MSO neuron model (Jercog et al. 2010)
- Two_Models/
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
- RichertWebEntry/
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
- StanleyEtAl2013/matlab_plotting/
- StanleyEtAl2013/matlab_plotting/extract_data/
- StanleyEtAl2013/matlab_plotting/JNP_figs/
- StanleyEtAl2013/matlab_plotting/JNP_figs/funcs_supporting/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Evol_mod/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Evol_mod/make_wrkspc/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Evol_mod/spk_analysis/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Evol_mod/struct_evol/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/Demitre_beta-est/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/NRE_Wavelet_Packet/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/struct_CaRes/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/struct_masc/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility/demitre/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility/demitre/Utilities I wrote for Demitre.txt
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility/testing scripts/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility_downloads/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility_Genesis/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility_quickautomations/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility_quickautomations/deleteme/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility_structarrays/
- StanleyEtAl2013/matlab_plotting/matlab_libdave1/Wavelet/utility_testcode/
- StanleyEtAl2013/matlab_plotting/output_paperdata/
- StanleyEtAl2013/screenshots/
- StanleyEtAl2013/simfiles/
- StanleyEtAl2013/simfiles/dataset_sample/
- StanleyEtAl2013/simfiles/dataset_sample/0_test_fullnet_6am/
- StanleyEtAl2013/simfiles/dataset_sample/0_test_fullnet_6am/t6/
- StanleyEtAl2013/simfiles/dataset_temp/
- StanleyEtAl2013/simfiles/dataset_temp/0_test_smallnet_6am/
- StanleyEtAl2013/simfiles/dataset_temp/0_test_smallnet_6am/t6/
Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
- prog/
FRAT: An amygdala-centered model of fear conditioning (Krasne et al. 2011)
- fratx/
- fratx/fratxProgram/
Ion concentration dynamics as a mechanism for neuronal bursting (Barreto & Cressman 2011)
- Barreto_Cressman_JBiolPhys_2011/
Fisher and Shannon information in finite neural populations (Yarrow et al. 2012)
- Yarrow2012/
- Yarrow2012/popcode/
Explaining pathological changes in axonal excitability by dynamical analysis (Coggan et al. 2011)
- CogganEtAl2011/
- CogganEtAl2011/NEURONcode/
STDP and oscillations produce phase-locking (Muller et al. 2011)
- Muller_et_al_2011/
Phase response curve of a globus pallidal neuron (Fujita et al. 2011)
- GPeNeuronKitano/
Effects of the membrane AHP on the Lateral Superior Olive (LSO) (Zhou & Colburn 2010)
- ZhouColburn2010/
- ZhouColburn2010/input/
- ZhouColburn2010/matlab_scripts/
- ZhouColburn2010/matlab_scripts/test_output/
- ZhouColburn2010/matlab_scripts/test_output/synaptic/
- ZhouColburn2010/matlab_scripts/test_output/current/
- ZhouColburn2010/output/
Phase precession through acceleration of local theta rhythm (Castro & Aguiar 2011)
- CastroAguiar_PhasePrecessionModel_2011/
Effects of eugenol on the firing of action potentials in NG108-15 neurons (Huang et al. 2011)
- EUG_sim/
Spike repolarization in axon collaterals (Foust et al. 2011)
- FoustEtAl2011/
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
- WilsonBower1992/
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
- SterrattEtAl2011/
Compartmentalization of GABAergic inhibition by dendritic spines (Chiu et al. 2013)
- singleDendrite/
- singleDendrite/figSuppl/
- singleDendrite/hoc/
- singleDendrite/hoc/optimization/
- singleDendrite/hoc/sealed_end/
- singleDendrite/impedance/
- singleDendrite/impedance/bAP/
- singleDendrite/impedance/bAPspineinhib/
- singleDendrite/impedance/spineinhib/
- singleDendrite/impedance/spineinhib/0/
- singleDendrite/impedance/spineinhib/100/
- singleDendrite/impedance/spineinhib/1000/
- singleDendrite/impedance/spineinhib/25/
- singleDendrite/mod/
- singleDendrite/multiconditions/
- singleDendrite/multiconditions/10xinhibdend/
- singleDendrite/multiconditions/1xinhibdend/
- singleDendrite/multiconditions/bAP/
- singleDendrite/multiconditions/bAP10xinhibdend/
- singleDendrite/multiconditions/bAP1xinhibdend/
- singleDendrite/multiconditions/bAPinhibspine/
- singleDendrite/multiconditions/inhibspine/
- singleDendrite/multiconditions/matlab/
- singleDendrite/multiconditions/spineinhibEClm40/
- singleDendrite/NaKgs/
- singleDendrite/NaKgs/1/
- singleDendrite/NaKgs/1/1/
- singleDendrite/NaKgs/1/1/bAP/
- singleDendrite/NaKgs/1/1/bAP10xdendinhib/
- singleDendrite/NaKgs/1/1/bAP1xdendinhib/
- singleDendrite/NaKgs/1/1/bAP3xdendinhib/
- singleDendrite/NaKgs/1/1/bAP5xdendinhib/
- singleDendrite/NaKgs/1/16/
- singleDendrite/NaKgs/1/16/bAP/
- singleDendrite/NaKgs/1/16/bAP10xdendinhib/
- singleDendrite/NaKgs/1/16/bAP1xdendinhib/
- singleDendrite/NaKgs/1/16/bAP3xdendinhib/
- singleDendrite/NaKgs/1/16/bAP5xdendinhib/
- singleDendrite/NaKgs/1/2/
- singleDendrite/NaKgs/1/2/bAP/
- singleDendrite/NaKgs/1/2/bAP10xdendinhib/
- singleDendrite/NaKgs/1/2/bAP1xdendinhib/
- singleDendrite/NaKgs/1/2/bAP3xdendinhib/
- singleDendrite/NaKgs/1/2/bAP5xdendinhib/
- singleDendrite/NaKgs/1/4/
- singleDendrite/NaKgs/1/4/bAP/
- singleDendrite/NaKgs/1/4/bAP10xdendinhib/
- singleDendrite/NaKgs/1/4/bAP1xdendinhib/
- singleDendrite/NaKgs/1/4/bAP3xdendinhib/
- singleDendrite/NaKgs/1/4/bAP5xdendinhib/
- singleDendrite/NaKgs/1/8/
- singleDendrite/NaKgs/1/8/bAP/
- singleDendrite/NaKgs/1/8/bAP10xdendinhib/
- singleDendrite/NaKgs/1/8/bAP1xdendinhib/
- singleDendrite/NaKgs/1/8/bAP3xdendinhib/
- singleDendrite/NaKgs/1/8/bAP5xdendinhib/
- singleDendrite/param3/
- singleDendrite/param3/ECl_m40/
- singleDendrite/param3/ECl_m40/bAP/
- singleDendrite/param3/ECl_m40/bAPspineinhib/
- singleDendrite/param3/ECl_m70/
- singleDendrite/param3/ECl_m70/bAP/
- singleDendrite/param3/ECl_m70/bAPspineinhib/
- singleDendrite/param3/ECl_m90/
- singleDendrite/param3/ECl_m90/bAP/
- singleDendrite/param3/ECl_m90/bAPspineinhib/
- singleDendrite/param3/gbar_ca0p5x/
- singleDendrite/param3/gbar_ca0p5x/bAP/
- singleDendrite/param3/gbar_ca0p5x/bAPspineinhib/
- singleDendrite/param3/gbar_ca1x/
- singleDendrite/param3/gbar_ca1x/bAP/
- singleDendrite/param3/gbar_ca1x/bAPspineinhib/
- singleDendrite/param3/gbar_ca2x/
- singleDendrite/param3/gbar_ca2x/bAP/
- singleDendrite/param3/gbar_ca2x/bAPspineinhib/
- singleDendrite/param3/mshift_15/
- singleDendrite/param3/mshift_15/bAP/
- singleDendrite/param3/mshift_15/bAPspineinhib/
- singleDendrite/param3/mshift_m15/
- singleDendrite/param3/mshift_m15/bAP/
- singleDendrite/param3/mshift_m15/bAPspineinhib/
- singleDendrite/param3/mshift_zero/
- singleDendrite/param3/mshift_zero/bAP/
- singleDendrite/param3/mshift_zero/bAPspineinhib/
- singleDendrite/results/
- singleDendrite/sealed_end/
- singleDendrite/sealed_end/bAPdecay/
- singleDendrite/sealed_end/matlab/
- singleDendrite/sealed_end/pas_dend/
- singleDendrite/sealed_end/pinch_moves/
- singleDendrite/sealed_end/spines_move/
- singleDendrite/sealed_end/spines_move_orig/
- singleDendrite/sh/
- singleDendrite/z/
- singleDendrite/z/10xinhibdend/
- singleDendrite/z/1xinhibdend/
- singleDendrite/z/bAP/
- singleDendrite/z/bAP10xinhibdend/
- singleDendrite/z/bAP1xinhibdend/
- singleDendrite/z/bAPinhibspine/
- singleDendrite/z/inhibspine/
- singleDendrite/z/spineinhibEClm40/
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
- Birdno_et_al_2012/
- Birdno_et_al_2012/master/
- Birdno_et_al_2012/modfiles/
Active dendritic action potential propagation (Casale & McCormick 2011)
- CasaleEtAl2011/
Simulations of motor unit discharge patterns (Powers et al. 2011)
- PowersEtAl2012/
- PowersEtAl2012/MN_hoc_and_output/
- PowersEtAl2012/code/
CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012)
- Ca1_Bianchi/
- Ca1_Bianchi/template/
- Ca1_Bianchi/morphology/
- Ca1_Bianchi/morphology/n123/
- Ca1_Bianchi/lib/
- Ca1_Bianchi/experiment/
Competition model of pheromone ratio detection (Zavada et al. 2011)
- zavada.etal2011-model/
Point process framework for modeling electrical stimulation of auditory nerve (Goldwyn et al. 2012)
- PointProcessANModel/
Grid cell spatial firing models (Zilli 2012)
- grid models package v1.007/
- grid models package v1.007/data/
LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B)
- LGMD/
- LGMD/jnphysiol2012/
- LGMD/jnphysiol2012/support/
- LGMD/jnphysiol2012/support/statfuncs/
- LGMD/jnphysiol2012/support/statfuncs/private/
- LGMD/jnphysiol2012/hocfiles/
- LGMD/jnphysiol2012/simout/
- LGMD/jneurosci2012/
- LGMD/jneurosci2012/support/
- LGMD/jneurosci2012/support/statfuncs/
- LGMD/jneurosci2012/support/statfuncs/private/
- LGMD/jneurosci2012/hocfiles/
- LGMD/jneurosci2012/simout/
Epileptic seizure model with Morris-Lecar neurons (Beverlin and Netoff 2011)
- ml_depress/
Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010)
- LondonEtAl2010/
- LondonEtAl2010/.hg/
- LondonEtAl2010/.hg/store/
- LondonEtAl2010/.hg/store/data/
Synchrony by synapse location (McTavish et al. 2012)
- mctavish_syncbylocation/
- mctavish_syncbylocation/in/
- mctavish_syncbylocation/in/weights/
- mctavish_syncbylocation/src/
Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)
- PFCcell/experiment/persistent/data/bsyn
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
- SimpleHypercolumnModel/Data/
- SimpleHypercolumnModel/Figs/
- SimpleHypercolumnModel/Funs/
Cortical pyramidal neuron, phase response curve (Stiefel et al 2009)
- StiefelEtAl2009/
Hodgkin-Huxley model of persistent activity in PFC neurons (Winograd et al. 2008) (NEURON python)
- Skolnik_python_WinogradEtAl2008/
A multiphysics neuron model for cellular volume dynamics (Lee et al. 2011)
- LeeJ_EtAl2011/
Dendro-dendritic synaptic circuit (Shepherd Brayton 1979)
- ShepherdBrayton1979/
- ShepherdBrayton1979/hoc/
- ShepherdBrayton1979/mod/
- ShepherdBrayton1979/traces2vecs/
- ShepherdBrayton1979/traces2vecs/old/
- ShepherdBrayton1979/mrf/
Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004)
- README/
CA1 pyramidal neurons: effects of Kv7 (M-) channels on synaptic integration (Shah et al. 2011)
- modeldb/
CA1 pyramidal cell: reconstructed axonal arbor and failures at weak gap junctions (Vladimirov 2011)
- VladimirovTuTraub2012/
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
- Buckley2011/
- Buckley2011/MGCMothModel/
- Buckley2011/MGCMothModel/Debug/
- Buckley2011/libraries/
- Buckley2011/libraries/ISAAC_C++/
- Buckley2011/libraries/ISAAC_C++/CVS/
- Buckley2011/libraries/CNlib2/
- Buckley2011/libraries/CNlib2/CN_absynapse2.cc
- Buckley2011/libraries/numlib/
- Buckley2011/libraries/numlib/CVS/
- Buckley2011/libraries/numlib/Makefile
- Buckley2011/libraries/numlib/OUTDATED/
- Buckley2011/libraries/CLBllib/
- Buckley2011/libraries/CLBllib/Old/
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012)
- YamazakiNagaoPONE11/
Linear vs non-linear integration in CA1 oblique dendrites (Gómez González et al. 2011)
- CA1_Gomez_2011/
- CA1_Gomez_2011/template/
- CA1_Gomez_2011/morphology/
- CA1_Gomez_2011/morphology/nXXX/
- CA1_Gomez_2011/morphology/nXXX/youngcell/
- CA1_Gomez_2011/lib/
- CA1_Gomez_2011/mechanism/
- CA1_Gomez_2011/mechanism/x86_64/
- CA1_Gomez_2011/experiment/
- CA1_Gomez_2011/experiment/tune-synapses/
- CA1_Gomez_2011/experiment/tune-synapses/data/
- CA1_Gomez_2011/experiment/junio/
- CA1_Gomez_2011/experiment/junio/tuned-nXXX-trunk/
Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)
- csa_weblink/
CA1 pyramidal neuron dendritic spine with plasticity (O`Donnell et al. 2011)
- ODonelletal_spinemodel/
Markov Chain-based Stochastic Shielding Hodgkin Huxley Model (Schmandt, Galan 2012)
- stocHHastic_1.1/
- stocHHastic_1.1/Expanded_model/
- stocHHastic_1.1/QandC/
- stocHHastic_1.1/QandC/V=-38mV/
- stocHHastic_1.1/QandC/V=-20mV/
- stocHHastic_1.1/HH/
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
- Spencer2009gammaSZmodel/
Nodes of Ranvier with left-shifted Nav channels (Boucher et al. 2012)
- Boucher2012/
Pyramidal neuron conductances state and STDP (Delgado et al. 2010)
- Pyramidal_STDP_Gomez_Delgado_2010/
- Pyramidal_STDP_Gomez_Delgado_2010/mechanism/
- Pyramidal_STDP_Gomez_Delgado_2010/experiment/
- Pyramidal_STDP_Gomez_Delgado_2010/morphology/
- Pyramidal_STDP_Gomez_Delgado_2010/mechanism/mechanism_cell1/
Reflected SDE Hodgkin-Huxley Model (Dangerfield et al. 2012)
- HH_Reflected_SDE_Figs/
- HH_Reflected_SDE_Figs/AP Stats Figs/
- HH_Reflected_SDE_Figs/Mean Variance Plots/
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)
- bpap/
- bpap/datastore/
- bpap/validation-plots/
- bpap/CA1_multi/
- bpap/CA1_multi/template/
- bpap/CA1_multi/mechanism/
- bpap/CA1_multi/lib/
- bpap/CA1_multi/morphology/
- bpap/CA1_multi/morphology/n123/
- bpap/CA1_multi/morphology/old20100419cell1/
- bpap/CA1_multi/morphology/old20100922cell2/
- bpap/CA1_multi/experiment/
- bpap/plots/
- bpap/tests/
- bpap/poirazi-nmda-car/
- bpap/pars/
Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab)
- StochasticHH/
Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)
- package/
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
- baubie-dtnet-bc6b287/
- baubie-dtnet-bc6b287/src/
- baubie-dtnet-bc6b287/src/cli/
- baubie-dtnet-bc6b287/src/cli/lib/
- baubie-dtnet-bc6b287/src/cli/lib/SReadline/
- baubie-dtnet-bc6b287/src/libdtnet/
- baubie-dtnet-bc6b287/src/libdtnet/lib/
- baubie-dtnet-bc6b287/src/libdtnet/lib/threadpool/
- baubie-dtnet-bc6b287/src/libdtnet/lib/threadpool/VERSION_0.2.5
- baubie-dtnet-bc6b287/src/libdtnet/lib/threadpool/threadpool/
- baubie-dtnet-bc6b287/src/libdtnet/lib/threadpool/threadpool/detail/
- baubie-dtnet-bc6b287/src/libdtnet/lib/tinyxml/
- baubie-dtnet-bc6b287/src/unittest/
- baubie-dtnet-bc6b287/src/models/
- baubie-dtnet-bc6b287/src/qdtnet/
- baubie-dtnet-bc6b287/src/qdtnet/MakefileAC.in
- baubie-dtnet-bc6b287/src/qdtnet/unittest/
- baubie-dtnet-bc6b287/src/qdtnet/connectionitem.cpp
- baubie-dtnet-bc6b287/src/qdtnet/resources/
- baubie-dtnet-bc6b287/m4/
- baubie-dtnet-bc6b287/NEWS
- baubie-dtnet-bc6b287/examples/
- baubie-dtnet-bc6b287/examples/inputs/
- baubie-dtnet-bc6b287/examples/networks/
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
- aubieEtAl2012/
Half-center oscillator database of leech heart interneuron model (Doloc-Mihu & Calabrese 2011)
- WebLink_HCO-db/
Cardiac action potentials and pacemaker activity of sinoatrial node (DiFrancesco & Noble 1985)
- DiFrancescoNoble1985/
STD-dependent and independent encoding of Input irregularity as spike rate (Luthman et al. 2011)
- LuthmanEtAl2011/
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
- arm1d/
CA1 pyramidal neuron: Ih current (Migliore et al. 2012)
- Ih_current/
Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python)
- hoppy/
Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver et al. 2012)
- V1_PFC_ModelDB/
Computing with neural synchrony (Brette 2012)
- computing_with_neural_synchrony/
- computing_with_neural_synchrony/hearing/
- computing_with_neural_synchrony/olfaction/
- computing_with_neural_synchrony/coincidence_detection_and_synchrony/
- computing_with_neural_synchrony/duration_selectivity/
Voltage-based STDP synapse (Clopath et al. 2010)
- modeldb_package/
- modeldb_package/VoTriCode/
Large scale model of the olfactory bulb (Yu et al., 2013)
- YuEtAl2012/
Thalamic neuron, zebra finch DLM: Integration of pallidal and cortical inputs (Goldberg et al. 2012)
- GoldbergEtAl2012/
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
- FRBGamma/
- FRBGamma/cells/
- FRBGamma/data/
- FRBGamma/data/efs/
- FRBGamma/data/spikes/
- FRBGamma/data/traces/
- FRBGamma/hoc/
- FRBGamma/mod/
- FRBGamma/net/
Boolean network-based analysis of the apoptosis network (Mai and Liu 2009)
- anetdemo/
Modulation of hippocampal rhythms by electric fields and network topology (Berzhanskaya et al. 2013)
- BerzThetaGamm2013/
Network model with dynamic ion concentrations (Ullah et al. 2009)
- Ullah_etal_2009/
CA1 pyramidal neurons: effects of Alzheimer (Culmone and Migliore 2012)
- alzheimer/
Method for deriving general HH neuron model`s spiking input-output relation (Soudry & Meir 2014)
- Code/
- Code/Plot_Figures/
- Code/Plot_Figures/Class_files/
- Code/Plot_Figures/Class_files/Averaged_Rates/
- Code/Plot_Figures/Class_files/p_s_functions/
- Code/Plot_Figures/Predictor_Performances/
- Code/Plot_Figures/p_star/
- Code/Simulations/
Hypocretin and Locus Coeruleus model neurons (Carter et al 2012)
- CarterEtAl2012/
Neurophysiological impact of inactivation pathways in A-type K+ channels (Fineberg et al 2012)
- Fineberg_et_al_2012/
- Fineberg_et_al_2012/IonChannelLab Files/
Circadian clock model based on protein sequestration (simple version) (Kim & Forger 2012)
- Simple_model/
Circadian clock model in mammals (detailed version) (Kim & Forger 2012)
- Detailed_model/
Oversampling method to extract excitatory and inhibitory conductances (Bedard et al. 2012)
- extraction-demo/
- extraction-demo/data/
- extraction-demo/data/exemple3/
- extraction-demo/data/exemple4/
- extraction-demo/data/exemple2/
- extraction-demo/data/exemple5/
- extraction-demo/data/exemple1/
A CORF computational model of a simple cell that relies on LGN input (Azzopardi & Petkov 2012)
- AzzopardiPetkov2012a/
NMDA subunit effects on Calcium and STDP (Evans et al. 2012)
- MSPNv7.6/
- MSPNv7.6/MScell/
- MSPNv7.6/MScell/channels/
A generic MAPK cascade model for random parameter sampling analysis (Mai and Liu 2013)
- mapk/
A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012)
- BahlEtAl2012/
- BahlEtAl2012/channels/
- BahlEtAl2012/init_models_with_ca/
- BahlEtAl2012/init_models_without_ca/
Olfactory bulb mitral cell gap junction NN model: burst firing and synchrony (O`Connor et al. 2012)
- oconnoretal2012/
Opponent-channel model of the cortical representation of auditory space (Briley et al., 2012)
- brileyetal2012/
Ca1 pyramidal neuron: reduction model (Marasco et al. 2012)
- reduction1.0/
- reduction1.0/MaxStim_Output/
- reduction1.0/morphologies/
- reduction1.0/morphologies/Adult/
Mean Field Equations for Two-Dimensional Integrate and Fire Models (Nicola and Campbell, 2013)
- Code/
- Code/Numerical Example 1/
- Code/Numerical Example 1/MATLAB CODE/
- Code/Numerical Example 1/MATCONT FILES/
- Code/Numerical Example 3/
- Code/Numerical Example 3/MATLAB CODE/
- Code/Numerical Example 2/
- Code/Numerical Example 2/MATLAB CODE/
- Code/Numerical Example 2/MATCONT CODE/
Paradoxical GABA-mediated excitation (Lewin et al. 2012)
- Naomi_CA1_code/
- Naomi_CA1_code/results/
Functional impact of dendritic branch point morphology (Ferrante et al., 2013)
- Branch_Point_Tapering/
Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
- Figure Code/
- Figure Code/Figure 5_Parameter Estimation gALC/
- Figure Code/Figure 1_Model Output/
- Figure Code/Figure 7_Hypno Tracking/
- Figure Code/Figure 2_Reconstruction/
- Figure Code/Generate Data/
- Figure Code/Figure 3_ EOC/
- Figure Code/Figure 6_Parameter Estimation SCN/
- Figure Code/Figure 8_Hypno Param/
- Figure Code/Figure 4_CI optimizaiton/
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
- LavzinEtAl2012/
Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012)
- neurogenesis/
- neurogenesis/odor/
- neurogenesis/odorset_new/
Modeling the effects of dopamine on network synchronization (Komek et al. 2012)
- Komek_etal_EJN/
- Komek_etal_EJN/images/
ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
- de_AlmeidaEtAl2012_updated/
- de_AlmeidaEtAl2012_updated/Functions/
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
- src/
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
- MotionClouds_modeldb/
- MotionClouds_modeldb/results/
- MotionClouds_modeldb/data/
- MotionClouds_modeldb/doc/
- MotionClouds_modeldb/doc/results/
A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
- EliasmithEtAl2012_weblink/
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
- Maki-MarttunenEtAl2013/
Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)
- beimGrabenSerafim2013/
Neuronvisio: a gui with 3D capabilities for NEURON (Mattioni et al. 2012)
- weblink2Mattioni/
Dendritic signals command firing dynamics in a Cerebellar Purkinje Cell model (Genet et al. 2010)
- genet_PC/
- genet_PC/doc/
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
- webLink/
IP3R model comparison (Hituri and Linne 2013)
- IP3R_models/
- IP3R_models/models/
Direct recruitment of S1 pyramidal cells and interneurons via ICMS (Overstreet et al., 2013)
- OverstreetEtAl2013/
- OverstreetEtAl2013/Interneuron/
- OverstreetEtAl2013/Interneuron/NEURON_code/
- OverstreetEtAl2013/Interneuron/Slice_Simulations/
- OverstreetEtAl2013/Pyramidal/
- OverstreetEtAl2013/Pyramidal/NEURON_code/
- OverstreetEtAl2013/Pyramidal/Slice_Simulation/
A detailed and fast model of extracellular recordings (Camunas-Mesa & Qurioga 2013)
- NeuroCubeWeblink/
Altered complexity in layer 2/3 pyramidal neurons (Luuk van der Velden et al. 2012)
- dendritic_complexity/
BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010)
- NarayananJohnston2010/
Resonance properties through Chirp stimulus responses (Narayanan Johnston 2007, 2008)
- Chirp/
- Chirp/Output/
Chirp stimulus responses in a morphologically realistic model (Narayanan and Johnston, 2007)
- MultiChirp/
- MultiChirp/Output/
Cytoplasmic electric fields and electroosmosis (Andreev 2013)
- weblink/
Human sleep/wake cycle (Rempe et al. 2010)
- flipflop/
Region-specific atrophy in dendrites (Narayanan, Narayan, Chattarji, 2005)
- Prune/
- Prune/Input/
- Prune/Output/
Amyloid-beta effects on release probability and integration at CA3-CA1 synapses (Romani et al. 2013)
- RomaniEtAl2013/
- RomaniEtAl2013/experiment/
- RomaniEtAl2013/morphology/
- RomaniEtAl2013/morphology/n123/
- RomaniEtAl2013/lib/
- RomaniEtAl2013/template/
Impact of dendritic atrophy on intrinsic and synaptic excitability (Narayanan & Chattarji, 2010)
- CA3Atrophy/
- CA3Atrophy/Input/
Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
- RFDev/
Towards a virtual C. elegans (Palyanov et al. 2012)
- webLink/
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
- sGridPlaceMap/
Effects of Chloride accumulation and diffusion on GABAergic transmission (Jedlicka et al 2011)
- Chloride_Model/
- Chloride_Model/cell_1/
- Chloride_Model/cell_1/1702c1.txt
- Chloride_Model/cell_2/
- Chloride_Model/cell_2/2002c2.txt
- Chloride_Model/cell_3/
- Chloride_Model/cell_3/1602c4.txt
- Chloride_Model/cell_4/
- Chloride_Model/cell_4/1705c1.txt
- Chloride_Model/cell_5/
- Chloride_Model/cell_5/2205c1.txt
- Chloride_Model/cell_6/
- Chloride_Model/cell_6/1107c1.txt
- Chloride_Model/cell_7/
- Chloride_Model/cell_7/1207c3.txt
- Chloride_Model/cell_8/
- Chloride_Model/cell_8/0611c1.txt
- Chloride_Model/share/
Circadian clock model in mammals (PK/PD model) (Kim & Forger 2013)
- modeldb/
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
- DBS_Dovzhenoketal2013/
Neuronal morphology goes digital ... (Parekh & Ascoli 2013)
- ParekhAscoli2013/
CA1 pyramidal neuron: action potential backpropagation (Gasparini & Migliore 2015)
- GaspariniMigliore2015/
Using Strahler's analysis to reduce realistic models (Marasco et al, 2013)
- PurkReductionOnLine/
- PurkReductionOnLine/morphologies/
Preserving axosomatic spiking features despite diverse dendritic morphology (Hay et al., 2013)
- HayEtAl2013/
- HayEtAl2013/models/
- HayEtAl2013/morphologies/
Rescue of plasticity by a computationally predicted protocol (Liu et al. 2013)
- LiuEtAl2013/
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
- ThomasPetrou2013/
- ThomasPetrou2013/Fig 2A/
- ThomasPetrou2013/Fig 4/
- ThomasPetrou2013/Fig 4/Data/
Roles of essential kinases in induction of late hippocampal LTP (Smolen et al., 2006)
- Smolen_LTP_2006/
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
- MiglioreMcTavish2013/
Modeling conductivity profiles in the deep neocortical pyramidal neuron (Wang K et al. 2013)
- WangK_EtAl2013weblink/
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
- ACh_ModelDB/
- ACh_ModelDB/Input/
- ACh_ModelDB/data/
Competing oscillator 5-cell circuit and Parameterscape plotting (Gutierrez et al. 2013)
- CompetingOscCode/
Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
- Garridoetal2013/
Prob. Inference of Short-Term Synaptic Plasticity in Neocort. Microcircuits (Costa et al. 2013)
- STPInference/
- STPInference/+Fitting/
- STPInference/+Fitting/+Loading/
- STPInference/+Fitting/+Loading/+ePhys/
- STPInference/+Fitting/+Loading/+ePhys/+STP/
- STPInference/+Fitting/+Optimization/
- STPInference/+Fitting/+Optimization/+MCMC/
- STPInference/+Plasticity/
- STPInference/+Plasticity/+STP/
- STPInference/+Plasticity/+STP/+Pheno/
- STPInference/data/
- STPInference/toolboxes/
- STPInference/toolboxes/@kde/
- STPInference/toolboxes/@kde/examples/
- STPInference/toolboxes/@kde/mex/
- STPInference/toolboxes/@kde/mex/cpp/
- STPInference/toolboxes/@kde/private/
- STPInference/utils/
- STPInference/utils/export_fig/
- STPInference/utils/export_fig/.ignore/
KV1 channel governs cerebellar output to thalamus (Ovsepian et al. 2013)
- CNModel_May2013/
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
- GridCellModel/
- GridCellModel/images/
- GridCellModel/grid_cell_model/
Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
- Garridoetal2013/
- Garridoetal2013/EDLUTAbstract/
- Garridoetal2013/MEX/
- Garridoetal2013/Register/
- Garridoetal2013/Videos/
A Method for Prediction of Receptor Activation in the Simulation of Synapses (Montes et al. 2013)
- ML-AMPA/
- ML-AMPA/bin/
- ML-AMPA/src/
Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
- ModelDB_submission/
- ModelDB_submission/large_mixed_network/
- ModelDB_submission/large_mixed_network/analyze_me.m
- ModelDB_submission/large_mixed_network/launch_me.m
- ModelDB_submission/large_mixed_network/matlab/
- ModelDB_submission/large_mixed_network/source_mixed/
- ModelDB_submission/mean_field/
- ModelDB_submission/mean_field/equilibria/
- ModelDB_submission/mean_field/mixed/
Reliability of Morris-Lecar neurons with added T, h, and AHP currents (Zeldenrust et al. 2013)
- xpp_code/
- xpp_code/prescott/
- xpp_code/prescott+T/
- xpp_code/prescott+T+adap/
- xpp_code/prescott+T+h/
- xpp_code/prescott+Tvar/
Fast convergence of cerebellar learning (Luque et al. 2015)
- CerebellumAbstractIODCN/
- CerebellumAbstractIODCN/CerebellumIODCNAbstract/
MEC layer II stellate cell: Synaptic mechanisms of grid cells (Schmidt-Hieber & Hausser 2013)
- grid/
- grid/demo/
- grid/nrn/
- grid/nrn/cells/
- grid/nrn/mod/
- grid/nrn/share/
A Model Circuit of Thalamocortical Convergence (Behuret et al. 2013)
- TCconvergenceModel/
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
- a2dmodeldb/
Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013)
- TimeScales-master/
- TimeScales-master/biochemical_circuits/
- TimeScales-master/neuronControl/
- TimeScales-master/branch_dist/
- TimeScales-master/helpers/
- TimeScales-master/mod/
- TimeScales-master/param/
- TimeScales-master/hoc/
- TimeScales-master/hoc/tau_tables/
- TimeScales-master/hoc/tau_tables/CVS/
- TimeScales-master/ecellControl/
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
- KimEtAl2013/
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
- MasquelierDeco2013/
- MasquelierDeco2013/data/
- MasquelierDeco2013/src/
Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)
- TanAndoniPriebe2013/
Interaural time difference detection by slowly integrating neurons (Vasilkov Tikidji-Hamburyan 2012)
- vvarth-PRL-2012/
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
- VladimirovTuTraub2013/
Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013)
- AshhadNarayanan2013/
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
- BiddellJohnson2013/
Striatal Output Neuron (Mahon, Deniau, Charpier, Delord 2000)
- MahonEtAl2000/
Revised opponent-channel model of auditory space cortical representation (Briley & Summerfield 2013)
- oppchanmodel/
Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013)
- weblink/
Auditory cortex layer IV network model (Beeman 2013)
- ACnet2-GENESIS/
- ACnet2-GENESIS/figures/
- ACnet2-GENESIS/Gpython-tools/
Model of arrhythmias in a cardiac cells network (Casaleggio et al. 2014)
- Casaleggio2014/
Crayfish hybrid experimental model (Chung et al. 2015)
- ChungEtAl2015/
- ChungEtAl2015/Backup/
- ChungEtAl2015/Backup/Crayfish Body Parts/
- ChungEtAl2015/Backup/Crayfish Body Parts/5 leg/
- ChungEtAl2015/Crayfish Body Parts/
- ChungEtAl2015/Crayfish Body Parts/5 leg/
Crayfish hybrid simulation model (Bacque-Cazenave et al. 2014)
- BacqueCazenaveEtAlsubmitted/
- BacqueCazenaveEtAlsubmitted/Crayfish Body Parts/
- BacqueCazenaveEtAlsubmitted/Crayfish Body Parts/5 leg/
Computational modelling of channelrhodopsin-2 photocurrent characteristics (Stefanescu et al. 2013)
- StefanescuEtAl2013/
- StefanescuEtAl2013/ChR2/
- StefanescuEtAl2013/ChR2/ChR2_3StateModel/
- StefanescuEtAl2013/ChR2/FitChR2_4StateModel/
- StefanescuEtAl2013/Gol/
- StefanescuEtAl2013/ThSol/
- StefanescuEtAl2013/WB/
Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
- CarracedoEtAl2013/
Grid cells from place cells (Castro & Aguiar, 2014)
- CastroAguiar_GridCellModel_MATLAB_code/
Calcium influx during striatal upstates (Evans et al. 2013)
- EvansEtAl2013/
- EvansEtAl2013/MScell/
- EvansEtAl2013/MScell/channels/
- EvansEtAl2013/RebekahSims/
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
- Bianchietal/
- Bianchietal/Weights/
- Bianchietal/Results/
- Bianchietal/Weights/setpatt2/
- Bianchietal/Weights/setpatt5/
- Bianchietal/Weights/setpatt4/
- Bianchietal/Weights/setpatt3/
- Bianchietal/Weights/setpatt10/
- Bianchietal/Weights/setpatt6/
- Bianchietal/Weights/setpatt1/
- Bianchietal/Weights/setpatt8/
- Bianchietal/Weights/setpatt9/
- Bianchietal/Weights/setpatt7/
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
- ca3ihdemo/
Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)
- lampreyCPG/
- lampreyCPG/output/
Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012)
- bfb-etal-2012/
- bfb-etal-2012/hoc/
- bfb-etal-2012/hoc/morpho/
- bfb-etal-2012/mods/
- bfb-etal-2012/py/
- bfb-etal-2012/scripts/
Recurrent discharge in a reduced model of cat spinal motoneuron (Balbi et al, 2013)
- BalbiEtAl2013/
- BalbiEtAl2013/channels/
DBS of a multi-compartment model of subthalamic nucleus projection neurons (Miocinovic et al. 2006)
- MiocinovicEtAl2006/
- MiocinovicEtAl2006/fem_fourier_waveform/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/prop-base/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/props/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/text-base/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/tmp/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/tmp/prop-base/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/tmp/props/
- MiocinovicEtAl2006/fem_fourier_waveform/.svn/tmp/text-base/
- MiocinovicEtAl2006/fem_voltage/
- MiocinovicEtAl2006/fem_voltage/.svn/
- MiocinovicEtAl2006/fem_voltage/.svn/prop-base/
- MiocinovicEtAl2006/fem_voltage/.svn/props/
- MiocinovicEtAl2006/fem_voltage/.svn/text-base/
- MiocinovicEtAl2006/fem_voltage/.svn/tmp/
- MiocinovicEtAl2006/fem_voltage/.svn/tmp/prop-base/
- MiocinovicEtAl2006/fem_voltage/.svn/tmp/props/
- MiocinovicEtAl2006/fem_voltage/.svn/tmp/text-base/
- MiocinovicEtAl2006/hocload.tmp
Sympathetic Preganglionic Neurone (Briant et al. 2014)
- SPN_ModelDB/
- SPN_ModelDB/hoc_code/
- SPN_ModelDB/hoc_code/GKABAR_code/
- SPN_ModelDB/hoc_code/Model_fit_code/
- SPN_ModelDB/MATLAB_code/
Simulating ion channel noise in an auditory brainstem neuron model (Schmerl & McDonnell 2013)
- SchmerlMcDonnel2013/
Voltage and light-sensitive Channelrhodopsin-2 model (ChR2) (Williams et al. 2013)
- WilliamsEtAl2013/
Tapered whiskers are required for active tactile sensation (Hires et al. 2013)
- HiresEtAl2013/
3D model of the olfactory bulb (Migliore et al. 2014)
- bulb3d/
Current Dipole in Laminar Neocortex (Lee et al. 2013)
- corticaldipole/
- corticaldipole/.git/
- corticaldipole/.git/branches/
- corticaldipole/.git/hooks/
- corticaldipole/.git/info/
- corticaldipole/.git/logs/
- corticaldipole/.git/logs/refs/
- corticaldipole/.git/logs/refs/heads/
- corticaldipole/.git/logs/refs/remotes/
- corticaldipole/.git/logs/refs/remotes/origin/
- corticaldipole/.git/objects/
- corticaldipole/.git/objects/14/
- corticaldipole/.git/objects/1c/
- corticaldipole/.git/objects/21/
- corticaldipole/.git/objects/23/
- corticaldipole/.git/objects/26/
- corticaldipole/.git/objects/2a/
- corticaldipole/.git/objects/2b/
- corticaldipole/.git/objects/31/
- corticaldipole/.git/objects/32/
- corticaldipole/.git/objects/36/
- corticaldipole/.git/objects/44/
- corticaldipole/.git/objects/49/
- corticaldipole/.git/objects/4c/
- corticaldipole/.git/objects/4f/
- corticaldipole/.git/objects/50/
- corticaldipole/.git/objects/51/
- corticaldipole/.git/objects/59/
- corticaldipole/.git/objects/71/
- corticaldipole/.git/objects/76/
- corticaldipole/.git/objects/79/
- corticaldipole/.git/objects/7b/
- corticaldipole/.git/objects/7c/
- corticaldipole/.git/objects/8a/
- corticaldipole/.git/objects/8d/
- corticaldipole/.git/objects/8e/
- corticaldipole/.git/objects/91/
- corticaldipole/.git/objects/97/
- corticaldipole/.git/objects/9b/
- corticaldipole/.git/objects/9c/
- corticaldipole/.git/objects/ab/
- corticaldipole/.git/objects/ad/
- corticaldipole/.git/objects/b0/
- corticaldipole/.git/objects/b1/
- corticaldipole/.git/objects/c5/
- corticaldipole/.git/objects/c9/
- corticaldipole/.git/objects/d5/
- corticaldipole/.git/objects/e1/
- corticaldipole/.git/objects/ec/
- corticaldipole/.git/objects/info/
- corticaldipole/.git/objects/pack/
- corticaldipole/.git/refs/
- corticaldipole/.git/refs/heads/
- corticaldipole/.git/refs/remotes/
- corticaldipole/.git/refs/remotes/origin/
- corticaldipole/.git/refs/tags/
- corticaldipole/mod/
- corticaldipole/param/
Statistics of symmetry measure for networks of neurons (Esposito et al. 2014)
- EspositoEtAl2013/
CA1 pyramidal neurons: effect of external electric field from power lines (Cavarretta et al. 2014)
- CavarrettaEtAl2014/
Model of repetitive firing in Grueneberg ganglion olfactory neurons (Liu et al., 2012)
- GG/
Ionic mechanisms of dendritic spikes (Almog and Korngreen 2014)
- Demo/
- Demo/cells/
Electrodiffusive astrocytic and extracellular ion concentration dynamics model (Halnes et al. 2013)
- eldiff/
DRt neuron model (Sousa et al., 2014)
- SousaEtAl2014/
Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013)
- StevensEtAl2013/
Drosophila 3rd instar larval aCC motoneuron (Gunay et al. 2015)
- Gunay_etal_2014/
- Gunay_etal_2014/xpp-models/
- Gunay_etal_2014/xpp-models/@data_L1_passive/
- Gunay_etal_2014/neuron-model/
- Gunay_etal_2014/channels/
- Gunay_etal_2014/channels/@model_data_vcs_Kprepulse/
- Gunay_etal_2014/param_fitter/
- Gunay_etal_2014/param_fitter/old/
- Gunay_etal_2014/param_fitter/unittest/
- Gunay_etal_2014/param_fitter/@param_func_compiled/
- Gunay_etal_2014/param_fitter/@param_act/
- Gunay_etal_2014/param_fitter/@param_mult/
- Gunay_etal_2014/param_fitter/@param_mult/private/
- Gunay_etal_2014/param_fitter/@param_tau_v/
- Gunay_etal_2014/param_fitter/@param_HH_chan_int_v/
- Gunay_etal_2014/param_fitter/@param_func/
- Gunay_etal_2014/param_fitter/@param_func/private/
- Gunay_etal_2014/param_fitter/@param_act_t/
- Gunay_etal_2014/param_fitter/@param_spline_func/
- Gunay_etal_2014/param_fitter/@solver_int/
Olfactory bulb juxtaglomerular models (Carey et al., 2015)
- carey_2013/
- carey_2013/Data/
- carey_2013/DataProcessing/
- carey_2013/Data/Configuration/
- carey_2013/Data/Input/
- carey_2013/Data/Input/ET_Calibration/
- carey_2013/Data/Input/ORN_Input_Data/
- carey_2013/Data/Input/Reference_Spikes/
- carey_2013/Data/Parameters/
- carey_2013/Loops/
- carey_2013/Loops/ET/
- carey_2013/Loops/Full/
- carey_2013/Loops/ORN-ET-MC/
- carey_2013/Loops/ORN-MCRI/
- carey_2013/Loops/ORN-PG-MC/
- carey_2013/Models/
- carey_2013/Models/Full/
- carey_2013/Models/ORN/
- carey_2013/Models/ORN-ET/
- carey_2013/Models/ORN-ET-MC/
- carey_2013/Models/ORN-MCRI/
- carey_2013/Models/ORN-PG/
- carey_2013/Models/ORN-PG-MC/
- carey_2013/Params/
- carey_2013/Vfields/
- carey_2013/Aux/
- carey_2013/Aux/ETaux/
- carey_2013/Aux/MCaux/
- carey_2013/Aux/PGaux/
- carey_2013/Aux/Synaux/
A model of local field potentials generated by medial superior olive neurons (Goldwyn et al 2014)
- GoldwynEtAl2014/
Basal ganglia-corticothalamic (BGCT) network (Chen et al., 2014)
- ChenEtAl2014/
- ChenEtAl2014/BGCT_matlab_paper1/
- ChenEtAl2014/BGCT_matlab_paper2/
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
- colorModelDemo/
- colorModelDemo/back/
- colorModelDemo/input/
- colorModelDemo/results/
SN-MN neurons of Aplysia (Zhou et al. 2014)
- ZhouEtAl2014/
PreBotzinger Complex inspiratory neuron with NaP and CAN currents (Park and Rubin 2013)
- ParkRubin2013/
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
- CavallariEtAl2014__7_2015/LIF_COBN/
- CavallariEtAl2014__7_2015/LIF_CUBN/
Software for teaching the Hodgkin-Huxley model (Hernandez & Zurek 2013) (SENB written in NEURON hoc)
- SENB/
Temperature-Dependent Pyloric Pacemaker Kernel (Caplan JS et al., 2014)
- CaplanEtAl2014/
- CaplanEtAl2014/.hg/
- CaplanEtAl2014/.hg/cache/
- CaplanEtAl2014/.hg/store/
- CaplanEtAl2014/.hg/store/data/
- CaplanEtAl2014/.hg/undo.bookmarks
Resource competition in growing neurites (Hjorth et al 2014)
- iGrow-publish/
- iGrow-publish/DATA/
- iGrow-publish/FIGS/
- iGrow-publish/FIGS/Martine-cell1/
- iGrow-publish/FIGS/Martine-cell2/
- iGrow-publish/FIGS/Martine-cell3/
- iGrow-publish/FIGS/Martine-cell4/
- iGrow-publish/input/
- iGrow-publish/input/GridSearch/
- iGrow-publish/input/Ramaker/
- iGrow-publish/input/Swarm/
- iGrow-publish/output/
- iGrow-publish/output/GridSearch/
- iGrow-publish/output/Swarm/
Squid axon (Hodgkin, Huxley 1952) used in (Chen et al 2010) (R language)
- HH-Test-R/
Modeling extracellular electrical stimulation (Tahayori et al. 2012)
- TahayoriEtAl2012/
- TahayoriEtAl2012/COMSOL FILES/
- TahayoriEtAl2012/MATLAB FILES/
Ventricular cell model (Luo Rudy dynamic model) (Luo Rudy 1994) used in (Wang et al 2006) (XPP)
- LRdynamic/
Squid axon: Bifurcation analysis of mode-locking (Lee & Kim 2006) (Gangal & Dar 2014)
- HHNeuron/
LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
- LGNcircuit-1.1.1/
- LGNcircuit-1.1.1/dataFiles/
- LGNcircuit-1.1.1/helpFiles/
Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells (Lee et al. 2014)
- superdeep/
- superdeep/cells/
- superdeep/connectivity/
- superdeep/jobscripts/
- superdeep/datasets/
- superdeep/setupfiles/
- superdeep/stimulation/
Python-based toolkits for STEPS (Chen and De Schutter 2014)
- WebLink/
Leech Heart (HE) Motor Neuron conductances contributions to NN activity (Lamb & Calabrese 2013)
- LambCalabrese2013/
- LambCalabrese2013/input/
- LambCalabrese2013/lgenesis-noX/
- LambCalabrese2013/lgenesis-noX/bin/
- LambCalabrese2013/lgenesis-noX/Doc/
- LambCalabrese2013/lgenesis-noX/Hyperdoc/
- LambCalabrese2013/lgenesis-noX/include/
- LambCalabrese2013/lgenesis-noX/include/basic_g@.h
- LambCalabrese2013/lgenesis-noX/include/personal_g@.h
- LambCalabrese2013/lgenesis-noX/include/shell_g@.h
- LambCalabrese2013/lgenesis-noX/include/simconn_g@.h
- LambCalabrese2013/lgenesis-noX/include/synapse_g@.h
- LambCalabrese2013/lgenesis-noX/include/toolconn_g@.h
- LambCalabrese2013/lgenesis-noX/lib/
- LambCalabrese2013/lgenesis-noX/man/
- LambCalabrese2013/lgenesis-noX/man/man1/
- LambCalabrese2013/lgenesis-noX/neurokit/
- LambCalabrese2013/lgenesis-noX/neurokit/prototypes/
- LambCalabrese2013/lgenesis-noX/Scripts/
- LambCalabrese2013/lgenesis-noX/Scripts/X1compat/
- LambCalabrese2013/lgenesis-noX/startup/
- LambCalabrese2013/lgenesis-noX/Tutorials/
- LambCalabrese2013/Models_SubA_SubB_C/
- LambCalabrese2013/Scripts/
A model for how correlation depends on the neuronal excitability type (Hong et al. 2012)
- HongEtAl2012/
Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014)
- MoritaKato2014/
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
- olfactory-bulb-gilra-bhalla/
- olfactory-bulb-gilra-bhalla/analysis/
- olfactory-bulb-gilra-bhalla/cells/
- olfactory-bulb-gilra-bhalla/cells/PG_nrn/
- olfactory-bulb-gilra-bhalla/channels/
- olfactory-bulb-gilra-bhalla/channels/neuron_channels/
- olfactory-bulb-gilra-bhalla/figures/
- olfactory-bulb-gilra-bhalla/figures/connectivity/
- olfactory-bulb-gilra-bhalla/figures/connectivity/cells/
- olfactory-bulb-gilra-bhalla/generators/
- olfactory-bulb-gilra-bhalla/networks/
- olfactory-bulb-gilra-bhalla/neuroml/
- olfactory-bulb-gilra-bhalla/nml2/
- olfactory-bulb-gilra-bhalla/simulations/
- olfactory-bulb-gilra-bhalla/synapses/
Fast global oscillations in networks of I&F neurons with low firing rates (Brunel and Hakim 1999)
- BrunelHakim1999/
Adaptive exponential integrate-and-fire model (Brette & Gerstner 2005)
- BretteGerstner2005/
A threshold equation for action potential initiation (Platkiewicz & Brette 2010)
- PlatkiewiczBrette2010/
Phase locking in leaky integrate-and-fire model (Brette 2004)
- Brette2004/
Sensitivity of noisy neurons to coincident inputs (Rossant et al. 2011)
- RossantEtAl2010/
Stable propagation of synchronous spiking in cortical neural networks (Diesmann et al 1999)
- DiesmannEtAl1999/
Impact of fast Na channel inact. on AP threshold & synaptic integration (Platkiewicz & Brette 2011)
- PlatkiewiczBrette2011/
Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013)
- McFarlandEtAl2014/
Theory of arachnid prey localization (Sturzl et al. 2000)
- SturzlEtAl2000/
Time-warp-invariant neuronal processing (Gutig & Sompolinsky 2009)
- GutigSompolinsky2009/
Reliability of spike timing is a general property of spiking model neurons (Brette & Guigon 2003)
- BretteGuigon2003/
Late emergence of the whisker direction selectivity map in rat barrel cortex (Kremer et al. 2011)
- KremerEtAl2011/
Spine head calcium in a CA1 pyramidal cell model (Graham et al. 2014)
- GrahamEtAl2014/
- GrahamEtAl2014/Cells/
- GrahamEtAl2014/Results/
Norns - Neural Network Studio (Visser & Van Gils 2014)
- VisserVanGils2014/
- VisserVanGils2014/Norns/
- VisserVanGils2014/Norns/Skuld_2_2/
- VisserVanGils2014/Norns/Urd_v1_2/
- VisserVanGils2014/Norns/VerdandiLite_v1_1/
- VisserVanGils2014/Norns/VerdandiLite_v1_1/VerdandiLite_CPP/
Mixed mode oscillations as a mechanism for pseudo-plateau bursting (Vo et al. 2010)
- VoEtAl2010/
Input strength and time-varying oscillation peak frequency (Cohen MX 2014)
- Cohen_freqslide/
The relationship between two fast/slow analysis techniques for bursting oscill. (Teka et al. 2012)
- TekaEtAl2012/
ModelView: online structural analysis of computational models (McDougal et al. 2015)
- modelview/
- modelview/analysis/
- modelview/presentation/
- modelview/presentation/modelview/
- modelview/presentation/neuronweb/
- modelview/presentation/neuronweb/flot/
- modelview/presentation/neuronweb/flot/build.log
- modelview/presentation/neuronweb/flot/examples/
- modelview/presentation/neuronweb/flot/examples/ajax/
- modelview/presentation/neuronweb/flot/examples/annotating/
- modelview/presentation/neuronweb/flot/examples/axes-interacting/
- modelview/presentation/neuronweb/flot/examples/axes-multiple/
- modelview/presentation/neuronweb/flot/examples/axes-time/
- modelview/presentation/neuronweb/flot/examples/axes-time-zones/
- modelview/presentation/neuronweb/flot/examples/axes-time-zones/tz/
- modelview/presentation/neuronweb/flot/examples/basic-options/
- modelview/presentation/neuronweb/flot/examples/basic-usage/
- modelview/presentation/neuronweb/flot/examples/canvas/
- modelview/presentation/neuronweb/flot/examples/categories/
- modelview/presentation/neuronweb/flot/examples/image/
- modelview/presentation/neuronweb/flot/examples/interacting/
- modelview/presentation/neuronweb/flot/examples/navigate/
- modelview/presentation/neuronweb/flot/examples/percentiles/
- modelview/presentation/neuronweb/flot/examples/realtime/
- modelview/presentation/neuronweb/flot/examples/resize/
- modelview/presentation/neuronweb/flot/examples/selection/
- modelview/presentation/neuronweb/flot/examples/series-errorbars/
- modelview/presentation/neuronweb/flot/examples/series-pie/
- modelview/presentation/neuronweb/flot/examples/series-toggle/
- modelview/presentation/neuronweb/flot/examples/series-types/
- modelview/presentation/neuronweb/flot/examples/shared/
- modelview/presentation/neuronweb/flot/examples/shared/jquery-ui/
- modelview/presentation/neuronweb/flot/examples/stacking/
- modelview/presentation/neuronweb/flot/examples/symbols/
- modelview/presentation/neuronweb/flot/examples/threshold/
- modelview/presentation/neuronweb/flot/examples/tracking/
- modelview/presentation/neuronweb/flot/examples/visitors/
- modelview/presentation/neuronweb/flot/examples/zooming/
- modelview/presentation/neuronweb/flot test/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/accordion/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/addClass/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/animate/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/autocomplete/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/autocomplete/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/button/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/datepicker/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/datepicker/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/dialog/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/draggable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/droppable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/droppable/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/effect/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/hide/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/menu/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/position/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/position/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/progressbar/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/progressbar/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/removeClass/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/resizable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/selectable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/show/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/slider/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/sortable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/spinner/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/switchClass/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/tabs/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/tabs/ajax/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/toggle/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/toggleClass/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/tooltip/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/tooltip/ajax/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/tooltip/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/demos/widget/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/external/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/accordion/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/autocomplete/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/button/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/core/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/datepicker/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/datepicker/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/dialog/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/draggable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/droppable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/effects/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/menu/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/position/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/progressbar/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/resizable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/resizable/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/selectable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/slider/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/sortable/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/spinner/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/tabs/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/tabs/data/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/tooltip/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/unit/widget/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/accordion/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/addClass/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/button/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/compound/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/dialog/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/effects/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/menu/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/position/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/tests/visual/tooltip/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/themes/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/themes/base/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/themes/base/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/themes/base/minified/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/themes/base/minified/images/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/ui/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/ui/i18n/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/ui/minified/
- modelview/presentation/neuronweb/jquery-ui-1.10.3/ui/minified/i18n/
- modelview/presentation/neuronweb/myjQuery/
- modelview/presentation/neuronweb/static/
- modelview/presentation/neuronweb/static/css/
- modelview/presentation/neuronweb/static/css/images/
- modelview/presentation/neuronweb/static/js/
Analyzing neural time series data theory and practice (Cohen 2014)
- CohenMK_book_weblink/
Understanding how fast activating K+ channels promote bursting in pituitary cells (Vo et al 2014)
- VoEtAl2014/
Gq coupled signaling pathways involved in striatal synaptic plasticity (Kim et al. 2013)
- KimEtAl2013/
- KimEtAl2013/MorphLong/
- KimEtAl2013/Robust/
Dopamine activation of signaling pathways in a medium spiny projection neuron (Oliveira et al. 2012)
- OliveiraEtAl2012/
L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
- L5microcircuit/
- L5microcircuit/bash_templates/
- L5microcircuit/experiment/
- L5microcircuit/experiment/recordandsave/
- L5microcircuit/mechanism/
Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
- ZandtEtAl2014/
- ZandtEtAl2014/Brian-network_and_NMM/
- ZandtEtAl2014/network_and_NMM/
- ZandtEtAl2014/network_and_NMM/Skuld_2_2/
- ZandtEtAl2014/network_and_NMM/Urd_v1_2/
- ZandtEtAl2014/network_and_NMM/VerdandiLite_v1_0/
- ZandtEtAl2014/network_and_NMM/VerdandiLite_v1_0/VerdandiLite_CPP/
- ZandtEtAl2014/NMM/
Learning intrinsic excitability in Medium Spiny Neurons (Scheler 2014)
- analysis/
- ch_analysis/
- gain_filter/
- gui/
- input/
- input_analysis/
- interactive/
- netsim/
- neuron/
- syn_response/
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
- KaplanLansner2014/
A cortical sheet mesoscopic model for investigating focal seizure onset dynamics (Wang et al. 2014)
- WebPublication/
- WebPublication/lib/
Dentate gyrus network model (Tejada et al 2014)
- TejadaEtAl2014/
Basket cell extrasynaptic inhibition modulates network oscillations (Proddutur et al., 2013)
- ProdduturEtAl2013/
Status epilepticus alters dentate basket cell tonic inhibition (Yu J et al 2013)
- YuEtAl2013/
A two networks model of connectivity-dependent oscillatory activity (Avella OJ et al. 2014)
- AvellaEtAl2014/
- AvellaEtAl2014/Two_netsPaper/
- AvellaEtAl2014/Two_netsPaper/connections/
- AvellaEtAl2014/Two_netsPaper/Instrum_Visualize/
- AvellaEtAl2014/Two_netsPaper/main/
- AvellaEtAl2014/Two_netsPaper/main/figures/
- AvellaEtAl2014/Two_netsPaper/main/in_process/
- AvellaEtAl2014/Two_netsPaper/main/output_matlab/
- AvellaEtAl2014/Two_netsPaper/main/output_matlab1/
- AvellaEtAl2014/Two_netsPaper/main/sessions/
- AvellaEtAl2014/Two_netsPaper/Matlab_support/
- AvellaEtAl2014/Two_netsPaper/Matlab_support/spikeTrainAnalysis/
- AvellaEtAl2014/Two_netsPaper/mods/
- AvellaEtAl2014/Two_netsPaper/mods/all_mods/
- AvellaEtAl2014/Two_netsPaper/mods/other_mods/
- AvellaEtAl2014/Two_netsPaper/mods/synapse/
- AvellaEtAl2014/Two_netsPaper/MRC/
- AvellaEtAl2014/Two_netsPaper/synapses/
- AvellaEtAl2014/Two_netsPaper/templates/
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
- sim_vs_net/
- sim_vs_net/rotate_image/
- sim_vs_net/rotate_image/output/
- sim_vs_net/rotate_image/tmp/
- sim_vs_net/utilities/
Calcium dynamics depend on dendritic diameters (Anwar et al. 2014)
- AnwarEtAl2014_weblink/
Phase response curves firing rate dependency of rat purkinje neurons in vitro (Couto et al 2015)
- pkj_prc/
- pkj_prc/brian/
- pkj_prc/lcg/
- pkj_prc/matlab/
- pkj_prc/mod-files/
- pkj_prc/mod-files/DSB/
- pkj_prc/mod-files/KR/
- pkj_prc/mod-files/misc/
- pkj_prc/python/
- pkj_prc/python/DSB/
- pkj_prc/python/KR/
- pkj_prc/python/KR/configs/
Intrinsic sensory neurons of the gut (Chambers et al. 2014)
- ChambersEtAl2013/
- ChambersEtAl2013/mod/
Fractional leaky integrate-and-fire model (Teka et al. 2014)
- Fractional_LIF_Neuron_Files/
Theoretical reconstrucion of field potentials and dendrodendritic synaptic...(Rall & Shepherd 1968)
- RallShepherd1968/
The subcellular distribution of T-type Ca2+ channels in LGN interneurons (Allken et al. 2014)
- AllkenEtAl2014/
Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
- bsfModel/
Single E-I oscillating network with amplitude modulation (Avella Gonzalez et al. 2012)
- HAE_LAE_Netk/
- HAE_LAE_Netk/connections/
- HAE_LAE_Netk/Instrum_Visualize/
- HAE_LAE_Netk/main/
- HAE_LAE_Netk/main/figures/
- HAE_LAE_Netk/main/in_process/
- HAE_LAE_Netk/main/output_matlab/
- HAE_LAE_Netk/main/sessions/
- HAE_LAE_Netk/Matlab_support/
- HAE_LAE_Netk/Matlab_support/spikeTrainAnalysis/
- HAE_LAE_Netk/mods/
- HAE_LAE_Netk/mods/other_mods/
- HAE_LAE_Netk/mods/stimulation/
- HAE_LAE_Netk/mods/synapse/
- HAE_LAE_Netk/mods/todo/
- HAE_LAE_Netk/MRC/
- HAE_LAE_Netk/synapses/
- HAE_LAE_Netk/templates/
Software (called Optimizer) for fitting neuronal models (Friedrich et al. 2014)
- FriedrichEtAl2014/
Synchronicity of fast-spiking interneurons balances medium-spiny neurons (Damodaran et al. 2014)
- striatalnetwork/
- striatalnetwork/Conditions/
- striatalnetwork/Conditions/No_FB/
- striatalnetwork/Conditions/No_FS/
- striatalnetwork/Conditions/No_Gaps/
- striatalnetwork/Conditions/No_Gaps/FScell/
- striatalnetwork/Conditions/No_Gaps/FScell/channels/
- striatalnetwork/FScell/
- striatalnetwork/FScell/channels/
- striatalnetwork/Matlab_files/
- striatalnetwork/MScell/
- striatalnetwork/MScell/channels/
- striatalnetwork/MScell/unusedChannels/
- striatalnetwork/Raster/
- striatalnetwork/Raster/old/
- striatalnetwork/Utilities/
The dynamics underlying pseudo-plateau bursting in a pituitary cell model (Teka et al. 2011)
- TekaEtAl2011a/
Information transmission in cerebellar granule cell models (Rossert et al. 2014)
- AnalyseGranCellRoessertEtAl14/
- AnalyseGranCellRoessertEtAl14/.DS_Store
- AnalyseGranCellRoessertEtAl14/figs/
- AnalyseGranCellRoessertEtAl14/figs/Pub/
- AnalyseGranCellRoessertEtAl14/figs/txt/
- AnalyseGranCellRoessertEtAl14/log/
- AnalyseGranCellRoessertEtAl14/NEURON/
- AnalyseGranCellRoessertEtAl14/NEURON/__init__.py
- AnalyseGranCellRoessertEtAl14/NEURON/synapse/
- AnalyseGranCellRoessertEtAl14/NEURON/synapse/__init__.py
- AnalyseGranCellRoessertEtAl14/publish/
- AnalyseGranCellRoessertEtAl14/publish/openloop/
- AnalyseGranCellRoessertEtAl14/publish/openloop/figures/
- AnalyseGranCellRoessertEtAl14/publish/openloop/minimal/
- AnalyseGranCellRoessertEtAl14/publish/openloop/txt/
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
- HaySegev2014/
- HaySegev2014/models/
Bursting and oscillations in RD1 Retina driven by AII Amacrine Neuron (Choi et al. 2014)
- ChoiEtAl2014/
Granule Cells of the Olfactory Bulb (Simoes_De_Souza et al. 2014)
- granule_cells/
Model of AngII signaling and membrane electrophysiology (Makadia, Anderson, Fey et al., 2015)
- MakadiaAndersonFey2015/
CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)
- SaudargieneEtAl2015/
Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015)
- MiglioreEtAl2015/
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014)
- CasellatoEtAl2014/
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
- EggerSchmittEtAl/
- EggerSchmittEtAl/cell_model/
- EggerSchmittEtAl/lib/
- EggerSchmittEtAl/lib/single_cell_analyzer/
- EggerSchmittEtAl/lib/single_cell_parser/
- EggerSchmittEtAl/mechanisms/
- EggerSchmittEtAl/network_model_ensemble/
- EggerSchmittEtAl/network_model_ensemble/analysis/
- EggerSchmittEtAl/network_model_ensemble/Figure3D/
- EggerSchmittEtAl/network_model_ensemble/Figure4B/
- EggerSchmittEtAl/network_model_ensemble/Figure4C_1/
- EggerSchmittEtAl/network_model_ensemble/Figure4C_2/
- EggerSchmittEtAl/network_model_ensemble/Figure4C_3/
- EggerSchmittEtAl/network_model_ensemble/Figure4C_4/
- EggerSchmittEtAl/network_model_ensemble/Figure4C_4/replay/
- EggerSchmittEtAl/network_model_ensemble/Figure4C_4/replay/20131013-0917/
- EggerSchmittEtAl/network_model_ensemble/Figure4E_1/
- EggerSchmittEtAl/network_model_ensemble/Figure4E_2/
- EggerSchmittEtAl/NeuroNet/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L1D1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L1D2/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L2D1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L2D2/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L3D1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L3D2/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L4pyD1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L4pyD2/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L4spD1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L4spD2/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L4ssD1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L4ssD2/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L5stD1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L5stD2/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L5ttD1/
- EggerSchmittEtAl/NeuroNet/boutons_per_celltype_syn/L5ttD2/
Generation of granule cell dendritic morphology (Schneider et al. 2014)
- GC_Forest/Outputs/
- GC_Forest/Submit/
- GC_Forest/Supporting_Files/
- GC_Forest/TREES1.15/
- GC_Forest/TREES1.15/construct/
- GC_Forest/TREES1.15/edit/
- GC_Forest/TREES1.15/electrotonics/
- GC_Forest/TREES1.15/graphical/
- GC_Forest/TREES1.15/graphtheory/
- GC_Forest/TREES1.15/gui/
- GC_Forest/TREES1.15/IO/
- GC_Forest/TREES1.15/metrics/
- GC_Forest/TREES1.15/sample/
- GC_Forest/TREES1.15/sample/mtr/
- GC_Forest/TREES1.15/sample/neu/
- GC_Forest/TREES1.15/sample/neurolucida/
- GC_Forest/TREES1.15/sample/stacks/
- GC_Forest/TREES1.15/sample/swc/
- GC_Forest/TREES1.15/scheme/
- GC_Forest/TREES1.15/stacks/
Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
- bfb-bwm-2014/
- bfb-bwm-2014/scripts/
- bfb-bwm-2014/mods/
- bfb-bwm-2014/hoc/
- bfb-bwm-2014/hoc/morpho/
- bfb-bwm-2014/py/
Hodgkin-Huxley with dynamic ion concentrations (Hubel and Dahlem, 2014)
- HubelDahlem2014/
Spreading depression model for FHM3 with Nav1.1 mutation (Dahlem et al. 2014)
- sd/
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
- DAcomparison/
- DAcomparison/HH/
- DAcomparison/HH/Neuron/
- DAcomparison/HH/Python-Euler/
- DAcomparison/SchmidtHieber/
- DAcomparison/SchmidtHieber/DA_unbound/
- DAcomparison/SchmidtHieber/Deterministic/
- DAcomparison/SchmidtHieber/MC/
- DAcomparison/SchmidtHieber/Reflected/
- DAcomparison/SchmidtHieber/SSda/
- DAcomparison/SchmidtHieber/SSmc/
- DAcomparison/SchmidtHieber/TR/
Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014)
- VOR/
A spiking neural network model of model-free reinforcement learning (Nakano et al 2015)
- nakanoEtAl2015/
- nakanoEtAl2015/digit22/
- nakanoEtAl2015/Icon
- nakanoEtAl2015/shrunk_digit_easy_test_20_15T/
- nakanoEtAl2015/shrunk_digit_easy_test_20_15T/Icon
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
- KonstantoudakiEtAl2014/
- KonstantoudakiEtAl2014/bash_templates/
- KonstantoudakiEtAl2014/experiment/
- KonstantoudakiEtAl2014/experiment/data/
Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014)
- HummosEtAl2014/
- HummosEtAl2014/Inputs/
- HummosEtAl2014/Outputs/
- HummosEtAl2014/Outputs/138OLMoffSpikeTime2.txt
- HummosEtAl2014/Outputs/139OLMoffSpikeTime2.txt
Network models of frequency modulated sweep detection (Skorheim et al. 2014)
- frqswpfinal/
Effects of spinal cord stimulation on WDR dorsal horn network (Zhang et al 2014)
- ZhangEtAl2014/
- __MACOSX/
- __MACOSX/ZhangEtAl2014/
- ZhangEtAl2014/Critical Mod Files/
- __MACOSX/ZhangEtAl2014/Critical Mod Files/
- ZhangEtAl2014/A Fiber Inhibition/
- __MACOSX/ZhangEtAl2014/A Fiber Inhibition/
- ZhangEtAl2014/WindUp/
- __MACOSX/ZhangEtAl2014/WindUp/
- ZhangEtAl2014/Foreman SCS/
- __MACOSX/ZhangEtAl2014/Foreman SCS/
- ZhangEtAl2014/Transient_Delayed_Firing_Variants/
- __MACOSX/ZhangEtAl2014/Transient_Delayed_Firing_Variants/
Understanding odor information segregation in the olfactory bulb by MC/TCs (Polese et al. 2014)
- OlfactoryBulbModel/
ELL pyramidal neuron (Simmonds and Chacron 2014)
- SimmondsChacron2014/
- SimmondsChacron2014/Weights/
3D olfactory bulb: operators (Migliore et al, 2015)
- figure1eBulb3D/
Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
- TchumatchenkoClopath2014/
A bistable model of Spike-Wave seizure and background activity (Taylor et al. 2014)
- TaylorWangetal2014/
Rhesus Monkey Layer 3 Pyramidal Neurons: Young vs aged PFC (Coskren et al. 2015)
- CoskrenEtAl2015/
- CoskrenEtAl2015/HHmodel/
- CoskrenEtAl2015/HHmodel/CachedScriptData/
- CoskrenEtAl2015/HHmodel/EmpiricalData/
- CoskrenEtAl2015/HHmodel/EmpiricalData/ProprietaryFormats/
- CoskrenEtAl2015/HHmodel/EmpiricalData/ProprietaryFormats/PhysiologyAndMorphology.numbers/
- CoskrenEtAl2015/HHmodel/EmpiricalData/ProprietaryFormats/PhysiologyAndMorphology.numbers/Data/
- CoskrenEtAl2015/HHmodel/EmpiricalData/ProprietaryFormats/PhysiologyAndMorphology.numbers/Metadata/
- CoskrenEtAl2015/HHmodel/EmpiricalData/ProprietaryFormats/SomaMeasurements.numbers/
- CoskrenEtAl2015/HHmodel/EmpiricalData/ProprietaryFormats/SomaMeasurements.numbers/Data/
- CoskrenEtAl2015/HHmodel/EmpiricalData/ProprietaryFormats/SomaMeasurements.numbers/Metadata/
- CoskrenEtAl2015/HHmodel/GeneratedGraphs/
- CoskrenEtAl2015/HHmodel/HocFiles/
- CoskrenEtAl2015/HHmodel/ModelFiles/
- CoskrenEtAl2015/HHmodel/ModelFiles/Aug3a/
- CoskrenEtAl2015/HHmodel/ModelFiles/Aug3c/
- CoskrenEtAl2015/HHmodel/ModelFiles/Aug3e/
- CoskrenEtAl2015/HHmodel/ModelFiles/Aug3e/Incorrect-assumed-50%-subsample/
- CoskrenEtAl2015/HHmodel/ModelFiles/Aug3f/
- CoskrenEtAl2015/HHmodel/ModelFiles/Aug3g/
- CoskrenEtAl2015/HHmodel/ModelFiles/Dec15e/
- CoskrenEtAl2015/HHmodel/ModelFiles/Dec15e/ReconstructionOnDoubleSizedTiffs/
- CoskrenEtAl2015/HHmodel/ModelFiles/Feb27f/
- CoskrenEtAl2015/HHmodel/ModelFiles/Feb27f/misnumbered/
- CoskrenEtAl2015/HHmodel/ModelFiles/Feb27n/
- CoskrenEtAl2015/HHmodel/ModelFiles/Jun7d/
- CoskrenEtAl2015/HHmodel/ModelFiles/May31d/
- CoskrenEtAl2015/HHmodel/ModelFiles/May31d/misnumbered/
- CoskrenEtAl2015/HHmodel/ModelFiles/May3d/
- CoskrenEtAl2015/HHmodel/ModelFiles/May3h/
- CoskrenEtAl2015/HHmodel/ModelFiles/May3i/
- CoskrenEtAl2015/HHmodel/ModelFiles/May3t/
- CoskrenEtAl2015/HHmodel/ModelFiles/test/
- CoskrenEtAl2015/HHmodel/NumericalResults/
- CoskrenEtAl2015/HHmodel/NumericalResults-Baseline/
- CoskrenEtAl2015/HHmodel/Scripts/
- CoskrenEtAl2015/HHmodel/Scripts/hoc/
- CoskrenEtAl2015/HHmodel/Scripts/hoc/x86_64/
- CoskrenEtAl2015/HHmodel/Scripts/hoc/x86_64/.libs/
- CoskrenEtAl2015/HHmodel/Scripts/NeuronMechanisms/
- CoskrenEtAl2015/HHmodel/Scripts/NeuronMechanisms/x86_64/
- CoskrenEtAl2015/HHmodel/Scripts/NeuronMechanisms/x86_64/.libs/
- CoskrenEtAl2015/HHmodel/Scripts/Python/
- CoskrenEtAl2015/HHmodel/Scripts/Python/lib/
- CoskrenEtAl2015/HHmodel/Scripts/R/
- CoskrenEtAl2015/HHmodel/Scripts/R/.Rhistory
- CoskrenEtAl2015/HHmodel/Scripts/R/lib/
- CoskrenEtAl2015/models/
Neurite: electrophysiological-mechanical coupling simulation framework (Garcia-Grajales et al 2015)
- Neurite_Public/
- Neurite_Public/applications/
- Neurite_Public/applications/example_1/
- Neurite_Public/applications/example_2/
- Neurite_Public/applications/example_3/
- Neurite_Public/applications/example_4/
- Neurite_Public/applications/example_5/
- Neurite_Public/applications/example_6/
- Neurite_Public/applications/example_7/
- Neurite_Public/applications/example_8/
- Neurite_Public/applications/example_9/
- Neurite_Public/bin/
- Neurite_Public/build/
- Neurite_Public/doc/
- Neurite_Public/inc/
- Neurite_Public/others/
- Neurite_Public/src/
A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
- NEST-SCModel/
- NEST-SCModel/doc/
- NEST-SCModel/nest-2.2.2/
- NEST-SCModel/nest-2.2.2/autom4te.cache/
- NEST-SCModel/nest-2.2.2/build/
- NEST-SCModel/nest-2.2.2/conngen/
- NEST-SCModel/nest-2.2.2/conngen/sli/
- NEST-SCModel/nest-2.2.2/doc/
- NEST-SCModel/nest-2.2.2/doc/conngen/
- NEST-SCModel/nest-2.2.2/doc/manual/
- NEST-SCModel/nest-2.2.2/examples/
- NEST-SCModel/nest-2.2.2/examples/MyModule/
- NEST-SCModel/nest-2.2.2/examples/MyModule/Makefile.in
- NEST-SCModel/nest-2.2.2/examples/MyModule/sli/
- NEST-SCModel/nest-2.2.2/examples/nest/
- NEST-SCModel/nest-2.2.2/examples/nest/Brette_et_al_2007/
- NEST-SCModel/nest-2.2.2/examples/nest/HillTononi/
- NEST-SCModel/nest-2.2.2/examples/nest/music/
- NEST-SCModel/nest-2.2.2/examples/sli/
- NEST-SCModel/nest-2.2.2/extras/
- NEST-SCModel/nest-2.2.2/extras/bibliography/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/build/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/build/lib/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/build/lib/ConnPlotter/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/build/lib/ConnPlotter/examples/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/build/lib.linux-x86_64-2.7/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/build/lib.linux-x86_64-2.7/ConnPlotter/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/build/lib.linux-x86_64-2.7/ConnPlotter/examples/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/doc/
- NEST-SCModel/nest-2.2.2/extras/ConnPlotter/examples/
- NEST-SCModel/nest-2.2.2/extras/emacs/
- NEST-SCModel/nest-2.2.2/extras/logos/
- NEST-SCModel/nest-2.2.2/lib/
- NEST-SCModel/nest-2.2.2/lib/sli/
- NEST-SCModel/nest-2.2.2/libltdl/
- NEST-SCModel/nest-2.2.2/libltdl/autom4te.cache/
- NEST-SCModel/nest-2.2.2/libltdl/config/
- NEST-SCModel/nest-2.2.2/libltdl/libltdl/
- NEST-SCModel/nest-2.2.2/libltdl/loaders/
- NEST-SCModel/nest-2.2.2/libltdl/m4/
- NEST-SCModel/nest-2.2.2/libnestutil/
- NEST-SCModel/nest-2.2.2/librandom/
- NEST-SCModel/nest-2.2.2/models/
- NEST-SCModel/nest-2.2.2/models/sli/
- NEST-SCModel/nest-2.2.2/nest/
- NEST-SCModel/nest-2.2.2/nestkernel/
- NEST-SCModel/nest-2.2.2/precise/
- NEST-SCModel/nest-2.2.2/pynest/
- NEST-SCModel/nest-2.2.2/pynest/examples/
- NEST-SCModel/nest-2.2.2/pynest/examples/LeNovere_2012/
- NEST-SCModel/nest-2.2.2/pynest/nest/
- NEST-SCModel/nest-2.2.2/pynest/nest/tests/
- NEST-SCModel/nest-2.2.2/sli/
- NEST-SCModel/nest-2.2.2/testsuite/
- NEST-SCModel/nest-2.2.2/testsuite/manualtests/
- NEST-SCModel/nest-2.2.2/testsuite/manualtests/ticket-458/
- NEST-SCModel/nest-2.2.2/testsuite/mpi_selftests/
- NEST-SCModel/nest-2.2.2/testsuite/mpi_selftests/fail/
- NEST-SCModel/nest-2.2.2/testsuite/mpi_selftests/pass/
- NEST-SCModel/nest-2.2.2/testsuite/mpitests/
- NEST-SCModel/nest-2.2.2/testsuite/regressiontests/
- NEST-SCModel/nest-2.2.2/testsuite/selftests/
- NEST-SCModel/nest-2.2.2/testsuite/unittests/
- NEST-SCModel/nest-2.2.2/topology/
- NEST-SCModel/nest-2.2.2/topology/build/
- NEST-SCModel/nest-2.2.2/topology/build/lib/
- NEST-SCModel/nest-2.2.2/topology/build/lib/nest/
- NEST-SCModel/nest-2.2.2/topology/build/lib/nest/topology/
- NEST-SCModel/nest-2.2.2/topology/build/lib/nest/topology/tests/
- NEST-SCModel/nest-2.2.2/topology/doc/
- NEST-SCModel/nest-2.2.2/topology/doc/old_doc/
- NEST-SCModel/nest-2.2.2/topology/doc/old_doc/plotting_tools/
- NEST-SCModel/nest-2.2.2/topology/doc/user_manual_figures/
- NEST-SCModel/nest-2.2.2/topology/doc/user_manual_scripts/
- NEST-SCModel/nest-2.2.2/topology/examples/
- NEST-SCModel/nest-2.2.2/topology/pynest/
- NEST-SCModel/nest-2.2.2/topology/pynest/tests/
- NEST-SCModel/nest-2.2.2/topology/sli/
- NEST-SCModel/nest-2.2.2/topology/testsuite/
- NEST-SCModel/nest-2.2.2/topology/testsuite/conntests/
- NEST-SCModel/nest-2.2.2/topology/testsuite/conntests/reference/
- NEST-SCModel/nest-2.2.2/topology/testsuite/conntests/testscripts/
- NEST-SCModel/nest-2.2.2/topology/testsuite/mpitests/
- NEST-SCModel/nest-2.2.2/topology/testsuite/unittests/
- NEST-SCModel/patches/
- NEST-SCModel/supcoll/
- NEST-SCModel/supcoll/SCmodel/
Hierarchical network model of perceptual decision making (Wimmer et al 2015)
- hierarchical_network/
Neuronal dendrite calcium wave model (Neymotin et al, 2015)
- ca1dDemo/
- ca1dDemo/data/
Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015)
- RoessertEtAl2015/
- RoessertEtAl2015/cells/
- RoessertEtAl2015/cells/__init__.py
- RoessertEtAl2015/cells/ifun/
- RoessertEtAl2015/cells/ifun/__init__.py
- RoessertEtAl2015/data/
- RoessertEtAl2015/export/
- RoessertEtAl2015/figs/
- RoessertEtAl2015/figs/dump/
- RoessertEtAl2015/figs/Inserts/
- RoessertEtAl2015/figs/Pub/
- RoessertEtAl2015/figs/txt/
- RoessertEtAl2015/log/
- RoessertEtAl2015/publish/
- RoessertEtAl2015/publish/closedloop/
- RoessertEtAl2015/publish/closedloop/data/
- RoessertEtAl2015/publish/closedloop/figures/
- RoessertEtAl2015/publish/closedloop/txt/
Reichardt Model for Motion Detection in the Fly Visual System (Tuthill et al, 2011)
- reverse_phi_emd/
Single cell model with variable ion concentrations and Na+/K+ ATPase (Krishnan et al. 2015)
- KrishnanEtAl2015/
Lillie Transition: onset of saltatory conduction in myelinating axons (Young et al. 2013)
- YoungEtAl2013/
- YoungEtAl2013/MATLAB files/
- YoungEtAl2013/NEURON files/
- YoungEtAl2013/NEURON files/velocity/
- YoungEtAl2013/NEURON files/voltage/
Dentate granule cell: mAHP & sAHP; SK & Kv7/M channels (Mateos-Aparicio et al., 2014)
- DGC/
Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015)
- Esposito_et_al_2015/
Cochlea: inner ear models in Python (Zilany et al 2009, 2014; Holmberg M 2007)
- cochlea/
Schiz.-linked gene effects on intrinsic single-neuron excitability (Maki-Marttunen et al. 2016)
- Maki-MarttunenEtAl2015/
- Maki-MarttunenEtAl2015/models/
- Maki-MarttunenEtAl2015/morphologies/
Default mode network model (Matsui et al 2014)
- DMNmodel/
Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014)
- VertechiEtAl2014/
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
- DamodaranEtAl2015/
- DamodaranEtAl2015/Analysis/
- DamodaranEtAl2015/Conditions/
- DamodaranEtAl2015/Conditions/No_DA/
- DamodaranEtAl2015/Conditions/No_DA/MScell/
- DamodaranEtAl2015/Conditions/No_DA/MScell/channels/
- DamodaranEtAl2015/Conditions/No_DA/MScell/unusedChannels/
- DamodaranEtAl2015/Conditions/No_DA_No_G/
- DamodaranEtAl2015/Conditions/No_DA_No_G/FScell/
- DamodaranEtAl2015/Conditions/No_DA_No_G/FScell/channels/
- DamodaranEtAl2015/Conditions/NoFS/
- DamodaranEtAl2015/Conditions/OnlyFS/
- DamodaranEtAl2015/Conditions/OnlySP/
- DamodaranEtAl2015/FScell/
- DamodaranEtAl2015/FScell/channels/
- DamodaranEtAl2015/logs/
- DamodaranEtAl2015/Matlab_files/
- DamodaranEtAl2015/MScell/
- DamodaranEtAl2015/MScell/channels/
- DamodaranEtAl2015/MScell/unusedChannels/
- DamodaranEtAl2015/output/
- DamodaranEtAl2015/Raster/
- DamodaranEtAl2015/Raster/old/
- DamodaranEtAl2015/spine/
- DamodaranEtAl2015/Utilities/
NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
- NMDA_network_modelDB/
- NMDA_network_modelDB/NMDA-GABAB_2013/
- NMDA_network_modelDB/NMDA-GABAB_2013/cluster scripts/
- NMDA_network_modelDB/NMDA-GABAB_2013/figures/
- NMDA_network_modelDB/NMDA-GABAB_2013/plot/
- NMDA_network_modelDB/NMDA-GABAB_2013/results/
- NMDA_network_modelDB/Temporal-Spatial_2014/
- NMDA_network_modelDB/Temporal-Spatial_2014/figures/
- NMDA_network_modelDB/Temporal-Spatial_2014/plot/
- NMDA_network_modelDB/Temporal-Spatial_2014/results/
Early-onset epileptic encephalopathy (Miceli et al. 2015)
- Kv72_ModelDB/
Axon-somatic back-propagation in a detailed model of cat spinal motoneuron (Balbi et al, 2015)
- BalbiEtAl2015/
- BalbiEtAl2015/cat_spinal_mn/
- BalbiEtAl2015/channels/
- BalbiEtAl2015/States/
Large-scale neuromusculoskeletal model of human upright standing (Elias et al 2014)
- EliasEtAl2014/
Layer 5 Pyramidal Neuron (Shai et al., 2015)
- ShaiEtAl2015/
- ShaiEtAl2015/data/
- ShaiEtAl2015/mod/
- ShaiEtAl2015/models/
- ShaiEtAl2015/morphologies/
- ShaiEtAl2015/simulationcode/
Alcohol action in a detailed Purkinje neuron model and an efficient simplified model (Forrest 2015)
- Forrest2015/
- Forrest2015/collapse_algorithm/
Modeling hebbian and homeostatic plasticity (Toyoizumi et al. 2014)
- Toyoizumi_etal_2014/
Cerebellar memory consolidation model (Yamazaki et al. 2015)
- pnas_src/
Model of working memory based on negative derivative feedback (Lim and Goldman, 2013)
- LimGoldman2013/
Effect of polysynaptic facilitaiton between piriform-hippocampal network stages (Trieu et al 2015)
- TrieuEtAl2015/
FFV1MT: A V1-MT feedforward architecture for optical flow estimation (Solari et a., 2015)
- FFV1MT_code/
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
- CutsuridisPoirazi2015/
- CutsuridisPoirazi2015/Weights/
- CutsuridisPoirazi2015/Results/
Computational modeling of gephyrin-dependent inhibitory transsynaptic signaling (Lupascu et al 2020)
- gephyrin/
Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)
- hfo_model/
- hfo_model/data/
- hfo_model/mod/
- hfo_model/parameters/
- hfo_model/templates/
NETMORPH: creates NNs with realistic neuron morphologies (Koene et al. 2009, van Ooyen et al. 2014)
- netmorph_neuron3d/
- netmorph_neuron3d/NETMORPH/
- netmorph_neuron3d/NETMORPH/Manual/
- netmorph_neuron3d/NETMORPH/Program/
- netmorph_neuron3d/NEURON3D/
- netmorph_neuron3d/NEURON3D/Manual/
- netmorph_neuron3d/NEURON3D/Program/
Active zone model of Ca2+ secretion coupling (Keller et al. 2015)
- release_model/
- release_model/data_files/
- release_model/data_files/linearap0.1/
- release_model/data_files/linearap0.2/
- release_model/data_files/linearap0.4/
- release_model/data_files/linearap0.6/
- release_model/data_files/linearap0.8/
- release_model/data_files/linearap1.0/
- release_model/data_files/linearap20/
- release_model/data_files/linearap40/
- release_model/data_files/linearap80/
- release_model/geometry_files/
- release_model/large_AZ_exclusion/
- release_model/large_AZ_exclusion/1.0/
- release_model/mechanisms/
- release_model/molecules/
- release_model/parameters/
- release_model/rates/
- release_model/release_events_files/
- release_model/small_AZ_exclusion/
- release_model/small_AZ_exclusion/1.0/
- release_model/small_AZ_exclusion_EGTA/
- release_model/small_AZ_exclusion_EGTA/1/
- release_model/small_AZ_random/
- release_model/small_AZ_random/1.0/
Inhibitory cells enable sparse coding in V1 model (King et al. 2013)
- ei_net_weblink/
CA1 pyramidal neuron (Ferguson et al. 2014)
- PYR_MODELS/
Models of Vector Navigation with Grid Cells (Bush et al., 2015)
- BushEtAl2015/
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
- SadehRotter_2015_PLOS_ComputBiol/
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
- SadehClopathRotter2015/
3D-printer visualization of NEURON models (McDougal and Shepherd, 2015)
- 3d-printable-neurons/
- 3d-printable-neurons/geometry3d/
Multi-comp. CA1 O-LM interneuron model with varying dendritic Ih distributions (Sekulic et al 2015)
- SekulicEtAl2015/
- SekulicEtAl2015/04525047--90nA/
- SekulicEtAl2015/04525047--90nA/hD0-RmCmTau/
- SekulicEtAl2015/04525047--90nA/linear-RmGr/
- SekulicEtAl2015/04525047--90nA/revision-fits/
- SekulicEtAl2015/04525047--90nA/sigmoidal-RmGr/
- SekulicEtAl2015/04525047--90nA/uniform-RmGr/
- SekulicEtAl2015/04610022--90nA/
- SekulicEtAl2015/04610022--90nA/linear-RmGr/
- SekulicEtAl2015/04610022--90nA/sigmoidal-RmGr/
- SekulicEtAl2015/04610022--90nA/uniform-RmGr/
- SekulicEtAl2015/celltestt.dat
CA1 PV+ fast-firing hippocampal interneuron (Ferguson et al. 2013)
- FergusonEtAl2013/
Neural-field model of generalized seizures (Zhao et al., 2015)
- ZhaoRobinson2015/
TRPM8-dependent dynamic response in cold thermoreceptors (Olivares et al. 2015)
- OlivaresEtAl2015/
- OlivaresEtAl2015/Neuron/
- OlivaresEtAl2015/Neuron/data/
- OlivaresEtAl2015/python/
Reaction-diffusion in the NEURON simulator (McDougal et al 2013)
- rxdinneuron/
Noise promotes independent control of gamma oscillations and grid firing (Solanka et al 2015)
- weblink/
Midbrain torus semicircularis neuron model (Aumentado-Armstrong et al. 2015)
- Aumentado-ArmstrongEtAl2015/
Quantitative assessment of computational models for retinotopic map formation (Hjorth et al. 2015)
- weblink/
Mitral cell activity gating by respiration and inhibition in an olfactory bulb NN (Short et al 2016)
- ShortEtAl2016/
- ShortEtAl2016/py/
- ShortEtAl2016/run_test/
- ShortEtAl2016/run_14/
- ShortEtAl2016/run_13/
- ShortEtAl2016/VecStim/
- ShortEtAl2016/run_12/
- ShortEtAl2016/run_15/
- ShortEtAl2016/run_2/
- ShortEtAl2016/run_5/
- ShortEtAl2016/event_generator/
- ShortEtAl2016/run_4/
- ShortEtAl2016/saved_sim_makers/
- ShortEtAl2016/run_3/
- ShortEtAl2016/run_10/
- ShortEtAl2016/run_17/
- ShortEtAl2016/early_theta_version/
- ShortEtAl2016/import/
- ShortEtAl2016/run_16/
- ShortEtAl2016/run_11/
- ShortEtAl2016/tmp/
- ShortEtAl2016/run_6/
- ShortEtAl2016/run_1/
- ShortEtAl2016/run_8/
- ShortEtAl2016/run_9/
- ShortEtAl2016/run_0/
- ShortEtAl2016/run_7/
- ShortEtAl2016/run_test/tdt2mat_data/
- ShortEtAl2016/saved_sim_makers/cols_50_400/
- ShortEtAl2016/early_theta_version/order/
- ShortEtAl2016/early_theta_version/thetastim/
- ShortEtAl2016/tmp/run_test/
Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
- sweeney-2015/
- sweeney-2015/code/
- sweeney-2015/IPython-notebooks/
- sweeney-2015/IPython-notebooks/.ipynb_checkpoints/
- sweeney-2015/simulation-results/
- sweeney-2015/simulation-results/fig-1/
- sweeney-2015/simulation-results/fig-4/
- sweeney-2015/simulation-results/fig-5/
A Layer V CCS type pyramidal cell, inhibitory synapse current conduction (Kubota Y et al., 2015)
- CS56PyModelDB/
PIR gamma oscillations in network of resonators (Tikidji-Hamburyan et al. 2015)
- JNS-2015/
- JNS-2015/integrator/
- JNS-2015/resonator/
Phase plane reveals two slow variables in midbrain dopamine neuron bursts (Yu and Canavier, 2015)
- YuCanavier2015/
Ephaptic coupling in passive cable and MSO neuron models (Goldwyn & Rinzel 2016)
- GoldwynRinzel2015/
Discharge hysteresis in motoneurons (Powers & Heckman 2015)
- Discharge_hysteresis/
- Discharge_hysteresis/Model hoc files and output/
- Discharge_hysteresis/Model hoc files and output/NaPi_long/
- Discharge_hysteresis/Model hoc files and output/FasterMis_long/
- Discharge_hysteresis/Model hoc files and output/ProxCa/
- Discharge_hysteresis/Model hoc files and output/HiDKCa_long/
- Discharge_hysteresis/Model hoc files and output/SlowM/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/
- Discharge_hysteresis/Model hoc files and output/FasterMis/
- Discharge_hysteresis/Model hoc files and output/ProxCa_long/
- Discharge_hysteresis/Model hoc files and output/SlowM_long/
- Discharge_hysteresis/Model hoc files and output/standard/
- Discharge_hysteresis/Model hoc files and output/AHPlen/
- Discharge_hysteresis/Model hoc files and output/LCai_long/
- Discharge_hysteresis/Model hoc files and output/LCai/
- Discharge_hysteresis/Model hoc files and output/AHPlen_long/
- Discharge_hysteresis/Model hoc files and output/standard_long/
- Discharge_hysteresis/Model hoc files and output/NaPi/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_12/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_15/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_14/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_13/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_4/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_3/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_2/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_5/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_18/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_16/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_11/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_10/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_17/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_19/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_0/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_7/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_9/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_8/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_6/
- Discharge_hysteresis/Model hoc files and output/ProxCa/ProxCa_1/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_11/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_16/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_18/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_19/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_17/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_10/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_0/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_7/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_9/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_8/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_6/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_1/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_15/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_12/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_13/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_14/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_4/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_3/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_2/
- Discharge_hysteresis/Model hoc files and output/SlowM/SlowM_5/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_3/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_4/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_5/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_2/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_18/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_11/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_16/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_17/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_10/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_19/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_9/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_7/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_0/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_1/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_6/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_8/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_15/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_12/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_13/
- Discharge_hysteresis/Model hoc files and output/HiDKCa/HiDKCa_14/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_4/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_3/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_2/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_5/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_10/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_17/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_19/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_18/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_16/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_11/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_0/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_7/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_9/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_8/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_6/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_1/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_14/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_13/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_12/
- Discharge_hysteresis/Model hoc files and output/FasterMis/FasterMis_15/
- Discharge_hysteresis/Model hoc files and output/standard/standard_3/
- Discharge_hysteresis/Model hoc files and output/standard/standard_4/
- Discharge_hysteresis/Model hoc files and output/standard/standard_15/
- Discharge_hysteresis/Model hoc files and output/standard/standard_12/
- Discharge_hysteresis/Model hoc files and output/standard/standard_5/
- Discharge_hysteresis/Model hoc files and output/standard/standard_2/
- Discharge_hysteresis/Model hoc files and output/standard/standard_13/
- Discharge_hysteresis/Model hoc files and output/standard/standard_14/
- Discharge_hysteresis/Model hoc files and output/standard/standard_11/
- Discharge_hysteresis/Model hoc files and output/standard/standard_16/
- Discharge_hysteresis/Model hoc files and output/standard/standard_18/
- Discharge_hysteresis/Model hoc files and output/standard/standard_7/
- Discharge_hysteresis/Model hoc files and output/standard/standard_0/
- Discharge_hysteresis/Model hoc files and output/standard/standard_9/
- Discharge_hysteresis/Model hoc files and output/standard/standard_19/
- Discharge_hysteresis/Model hoc files and output/standard/standard_17/
- Discharge_hysteresis/Model hoc files and output/standard/standard_10/
- Discharge_hysteresis/Model hoc files and output/standard/standard_8/
- Discharge_hysteresis/Model hoc files and output/standard/standard_1/
- Discharge_hysteresis/Model hoc files and output/standard/standard_6/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_0/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_10/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_17/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_7/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_9/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_19/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_8/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_18/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_16/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_6/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_1/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_11/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_14/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_4/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_3/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_13/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_2/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_12/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_15/
- Discharge_hysteresis/Model hoc files and output/AHPlen/AHPlen_5/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_14/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_13/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_12/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_15/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_5/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_2/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_3/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_4/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_19/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_10/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_17/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_16/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_11/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_18/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_8/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_1/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_6/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_7/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_0/
- Discharge_hysteresis/Model hoc files and output/LCai/LCai_9/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_3/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_4/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_5/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_2/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_11/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_16/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_18/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_19/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_17/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_10/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_7/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_0/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_9/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_8/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_1/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_6/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_15/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_12/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_13/
- Discharge_hysteresis/Model hoc files and output/NaPi/NaPi_14/
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
- fullMorphCaLTP8/
- fullMorphCaLTP8/commonFcns/
- fullMorphCaLTP8/fullMorphCaLTP8/
CA3 pyramidal neurons: Kv1.2 mediates modulation of cortical inputs (Hyun et al., 2015)
- HyunEtAl2015/
Mean-field systems and small scale neural networks (Ferguson et al. 2015)
- NjapEtAl2015/
Estimation of conductance in a conductance-based model of quadratic type (Vich & Guillamon 2015)
- VichGuillamon2015/
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 329321704
- 329321704/
- 329321704/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 471081668
- 471081668/
- 471081668/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 329322394
- 329322394/
- 329322394/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845
- 471085845/
- 471085845/modfiles/
Allen Institute: Sst-IRES-Cre VISp layer 2/3 471086533
- 471086533/
- 471086533/modfiles/
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 471087975
- 471087975/
- 471087975/modfiles/
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472299294
- 472299294/
- 472299294/modfiles/
Allen Institute: Sst-IRES-Cre VISp layer 5 472299363
- 472299363/
- 472299363/modfiles/
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472300877
- 472300877/
- 472300877/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 472301074
- 472301074/
- 472301074/modfiles/
Allen Institute: Sst-IRES-Cre VISp layer 4 472304539
- 472304539/
- 472304539/modfiles/
Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676
- 472304676/
- 472304676/modfiles/
Cortico-striatal plasticity in medium spiny neurons (Gurney et al 2015)
- KG_2015_ModeldB/
- KG_2015_ModeldB/post_process/
Allen Institute: Scnn1a-Tg2-Cre VISp layer 5 472306460
- 472306460/
- 472306460/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 472306544
- 472306544/
- 472306544/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616
- 472306616/
- 472306616/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 5 472349114
- 472349114/
- 472349114/modfiles/
Allen Institute: Htr3a-Cre VISp layer 2/3 472352327
- 472352327/
- 472352327/modfiles/
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 472363762
- 472363762/
- 472363762/modfiles/
Allen Institute: Htr3a-Cre VISp layer 2/3 472421285
- 472421285/
- 472421285/modfiles/
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472427533
- 472427533/
- 472427533/modfiles/
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472434498
- 472434498/
- 472434498/modfiles/
Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759
- 472440759/
- 472440759/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 472442377
- 472442377/
- 472442377/modfiles/
Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460
- 472447460/
- 472447460/modfiles/
Allen Institute: Sst-IRES-Cre VISp layer 5 472450023
- 472450023/
- 472450023/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 472451419
- 472451419/
- 472451419/modfiles/
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 472455509
- 472455509/
- 472455509/modfiles/
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472912107
- 472912107/
- 472912107/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 5 472912177
- 472912177/
- 472912177/modfiles/
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 473465456
- 473465456/
- 473465456/modfiles/
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 473561660
- 473561660/
- 473561660/modfiles/
- 473561660/x86_64/
- 473561660/x86_64/.libs/
- 473561660/debug.log
Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729
- 473561729/
- 473561729/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 473834758
- 473834758/
- 473834758/modfiles/
Allen Institute: Sst-IRES-Cre VISp layer 5 473835796
- 473835796/
- 473835796/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 473860269
- 473860269/
- 473860269/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473862421
- 473862421/
- 473862421/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496
- 473862496/
- 473862496/modfiles/
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473862845
- 473862845/
- 473862845/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 473863035
- 473863035/
- 473863035/modfiles/
Allen Institute: Rorb-IRES2-Cre-D VISp layer 4 473863510
- 473863510/
- 473863510/modfiles/
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473863578
- 473863578/
- 473863578/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 473871429
- 473871429/
- 473871429/modfiles/
Allen Institute: Rbp4-Cre VISp layer 6a 473871592
- 473871592/
- 473871592/modfiles/
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473871773
- 473871773/
- 473871773/modfiles/
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473872986
- 473872986/
- 473872986/modfiles/
Allen Institute: Rbp4-Cre VISp layer 5 472424854
- 472424854/
- 472424854/modfiles/
Allen Institute: Ntsr1-Cre VISp layer 4 472430904
- 472430904/
- 472430904/modfiles/
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473465774
- 473465774/
- 473465774/modfiles/
Allen Institute: Nr5a1-Cre VISp layer 4 472915634
- 472915634/
- 472915634/modfiles/
Interaction of leak and IMI conductance on the STG over broad temperature range (Stadele et al 2015)
- StaedeleEtAl2015/
- StaedeleEtAl2015/madSim 6.11/
- StaedeleEtAl2015/madSim 6.11/parameter/
- StaedeleEtAl2015/madSim 6.11/parameter/standard-kanaele/
Response of AMPA receptor kinetic model to glutamate release distance (Allam et al., 2015)
- AMPA_receptor_response_to_Glutamate_diffusion/
Neural Field Simulator (Nichols & Hutt 2012-2015)
- nfSimulator_2.3.4/
- nfSimulator_2.3.4/code/
- nfSimulator_2.3.4/code/sim/
- nfSimulator_2.3.4/documentation/
- nfSimulator_2.3.4/documentation/sub/
- nfSimulator_2.3.4/documentation/sub/img/
Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
- prepostSTDP_savings/
- prepostSTDP_savings/fromBrian/
Excessive beta oscillations in Parkinson's disease (Pavlides et al. 2015)
- PavlidesEtAl2015/
Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016)
- RumbellEtAl2016/
- RumbellEtAl2016/data/
- RumbellEtAl2016/data/Dec15IR2e_y/
- RumbellEtAl2016/data/Dec15IR2e_y/new/
- RumbellEtAl2016/data/Jun24IR2i_o/
- RumbellEtAl2016/images/
- RumbellEtAl2016/model/
- RumbellEtAl2016/optmz/
- RumbellEtAl2016/optmz/mulfit/
- RumbellEtAl2016/optmz/mulfit/mulfit_remove/
- RumbellEtAl2016/output/
- RumbellEtAl2016/output/ivcurve.dat
- RumbellEtAl2016/output/spTimes.dat
- RumbellEtAl2016/output/vtraces.dat
- RumbellEtAl2016/preProcess/
- RumbellEtAl2016/setup/
- RumbellEtAl2016/setup/generatorMoulds/
CA1 SOM+ (OLM) hippocampal interneuron (Ferguson et al. 2015)
- FergusonEtAl2015/
NMDA spikes in basal dendrites of L5 pyramidal neurons (Polsky et al. 2009)
- PolskyEtAl2009/
CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016)
- ChayEtAl2015/
pre-Bötzinger complex variability (Fietkiewicz et al. 2016)
- FietkiewiczEtAl2016/
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
- OB_gammabeta_model/
CA1 pyramidal neuron network model (Ferguson et al 2015)
- FergusonEtAl2015/
Detailed analysis of trajectories in the Morris water maze (Gehring et al. 2015)
- gehring2015/
- gehring2015/data_representation/
- gehring2015/extern/
- gehring2015/extern/sigstar/
- gehring2015/extern/legendflex/
- gehring2015/extern/my_corrplot/
- gehring2015/extern/GUILayout/
- gehring2015/extern/GUILayout/Patch/
- gehring2015/extern/GUILayout/layoutHelp/
- gehring2015/extern/GUILayout/layoutHelp/Examples/
- gehring2015/extern/GUILayout/layoutHelp/Images/
- gehring2015/extern/GUILayout/layoutHelp/helpsearch/
- gehring2015/extern/GUILayout/+uiextras/
- gehring2015/extern/GUILayout/+uiextras/Resources/
- gehring2015/extern/GUILayout/layout/
- gehring2015/extern/cm_and_cb_utilities/
- gehring2015/extern/export_fig/
- gehring2015/extern/export_fig/.ignore/
- gehring2015/extern/weka/
- gehring2015/import/
- gehring2015/import/noldus/
- gehring2015/import/noldus/calibration/
- gehring2015/features/
- gehring2015/features/tests/
- gehring2015/utility/
- gehring2015/config/
- gehring2015/config/morris_water_maze/
- gehring2015/results/
- gehring2015/results/mwm/
- gehring2015/gui/
Activator protein 1(AP-1) transcriptional regulatory model in brainstem neurons (Makadia et al 2015)
- ap1_model/
Effects of neural morphology on global and focal NMDA-spikes (Poleg-Polsky 2015)
- Poleg-Polsky2015/
Cell signaling/ion channel variability effects on neuronal response (Anderson, Makadia, et al. 2015)
- AndersonMakadiaEtAl2015/
Enhancing the HH eqs: simulations based on the first publication in Biophys J (Moore 2015)
- Moore2015/
VTA neurons: Morphofunctional alterations in acute opiates withdrawal (Enrico et al. 2016)
- EnricoEtAl2016/
AOB mitral cell: persistent activity without feedback (Zylbertal et al., 2015)
- AOB_mitral/
- AOB_mitral/channels/
Double boundary value problem (A. Bose and J.E. Rubin, 2015)
- BoseRubin2015/
Model predictive control model for an isometric motor task (Ueyama 2017)
- MPC/
Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015)
- JedlickaEtAl2015/
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
- Yim_et_al_2015/
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
- GCE_ModelDB/
- GCE_ModelDB/.git/
- GCE_ModelDB/.git/branches/
- GCE_ModelDB/.git/hooks/
- GCE_ModelDB/.git/info/
- GCE_ModelDB/.git/logs/
- GCE_ModelDB/.git/logs/refs/
- GCE_ModelDB/.git/logs/refs/heads/
- GCE_ModelDB/.git/logs/refs/remotes/
- GCE_ModelDB/.git/logs/refs/remotes/origin/
- GCE_ModelDB/.git/objects/
- GCE_ModelDB/.git/objects/0f/
- GCE_ModelDB/.git/objects/12/
- GCE_ModelDB/.git/objects/15/
- GCE_ModelDB/.git/objects/19/
- GCE_ModelDB/.git/objects/1b/
- GCE_ModelDB/.git/objects/24/
- GCE_ModelDB/.git/objects/25/
- GCE_ModelDB/.git/objects/29/
- GCE_ModelDB/.git/objects/39/
- GCE_ModelDB/.git/objects/3a/
- GCE_ModelDB/.git/objects/45/
- GCE_ModelDB/.git/objects/4b/
- GCE_ModelDB/.git/objects/50/
- GCE_ModelDB/.git/objects/53/
- GCE_ModelDB/.git/objects/62/
- GCE_ModelDB/.git/objects/6e/
- GCE_ModelDB/.git/objects/6f/
- GCE_ModelDB/.git/objects/70/
- GCE_ModelDB/.git/objects/73/
- GCE_ModelDB/.git/objects/77/
- GCE_ModelDB/.git/objects/88/
- GCE_ModelDB/.git/objects/94/
- GCE_ModelDB/.git/objects/96/
- GCE_ModelDB/.git/objects/98/
- GCE_ModelDB/.git/objects/99/
- GCE_ModelDB/.git/objects/9a/
- GCE_ModelDB/.git/objects/9e/
- GCE_ModelDB/.git/objects/a9/
- GCE_ModelDB/.git/objects/ac/
- GCE_ModelDB/.git/objects/c1/
- GCE_ModelDB/.git/objects/c8/
- GCE_ModelDB/.git/objects/cd/
- GCE_ModelDB/.git/objects/d3/
- GCE_ModelDB/.git/objects/d6/
- GCE_ModelDB/.git/objects/d8/
- GCE_ModelDB/.git/objects/ea/
- GCE_ModelDB/.git/objects/f3/
- GCE_ModelDB/.git/objects/fe/
- GCE_ModelDB/.git/objects/info/
- GCE_ModelDB/.git/objects/pack/
- GCE_ModelDB/.git/refs/
- GCE_ModelDB/.git/refs/heads/
- GCE_ModelDB/.git/refs/remotes/
- GCE_ModelDB/.git/refs/remotes/origin/
- GCE_ModelDB/.git/refs/tags/
- GCE_ModelDB/Fig3/
- GCE_ModelDB/Fig4/
- GCE_ModelDB/Fig5/
- GCE_ModelDB/Fig7/
Non-Weak E-Fields Pyramidal Neurons (Reznik et. al.,2015)
- NonWeak_Polar_ModeldB/Computational Data/
- NonWeak_Polar_ModeldB/Equilibrium/
- NonWeak_Polar_ModeldB/Figures/
- NonWeak_Polar_ModeldB/Figures/html/
- NonWeak_Polar_ModeldB/Gating Variables/
- NonWeak_Polar_ModeldB/Integrate/
- NonWeak_Polar_ModeldB/Integrate/html/
- NonWeak_Polar_ModeldB/Loop Over Parameters/
- NonWeak_Polar_ModeldB/Miscellaneous/
- NonWeak_Polar_ModeldB/Miscellaneous/html/
- NonWeak_Polar_ModeldB/PR_WIh/
Cerebellar nuclear neuron (Sudhakar et al., 2015)
- SudhakarEtAl2015/
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
- CaHDemo/
Axonal spheroids and conduction defects in Alzheimer’s disease (Yuan, Zhang, Tong, et al 2022)
- AlzAxonAP/
- AlzAxonAP/passive/
- AlzAxonAP/passive/.gitkeep
- AlzAxonAP/active/
- AlzAxonAP/active/.gitkeep
- AlzAxonAP/results/
- AlzAxonAP/sealed/
- AlzAxonAP/sealed/.gitkeep
- AlzAxonAP/screenshots/
- AlzAxonAP/more_matlab/
Modeling maintenance of Long-Term Potentiation in clustered synapses (Smolen 2015)
- Smolen2015/
- Smolen2015/sample_output/
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
- SanjayEtAl2015/
- SanjayEtAl2015/xtmp
H-currents effect on the fluctuation of gamma/beta oscillations (Avella-Gonzalez et al., 2015)
- Avella_GonzalezEtAl2015/
- Avella_GonzalezEtAl2015/connections/
- Avella_GonzalezEtAl2015/Instrum_Visualize/
- Avella_GonzalezEtAl2015/main/
- Avella_GonzalezEtAl2015/main/figures/
- Avella_GonzalezEtAl2015/main/in_process/
- Avella_GonzalezEtAl2015/main/output_h_test/
- Avella_GonzalezEtAl2015/main/sessions/
- Avella_GonzalezEtAl2015/Matlab_support/
- Avella_GonzalezEtAl2015/Matlab_support/MatlabFiles/
- Avella_GonzalezEtAl2015/mods/
- Avella_GonzalezEtAl2015/mods/network_sims_MODs/
- Avella_GonzalezEtAl2015/mods/other_mods/
- Avella_GonzalezEtAl2015/mods/stimulation/
- Avella_GonzalezEtAl2015/mods/synapse/
- Avella_GonzalezEtAl2015/mods/todo/
- Avella_GonzalezEtAl2015/MRC/
- Avella_GonzalezEtAl2015/synapses/
- Avella_GonzalezEtAl2015/templates/
Anoxic depolarization, recovery: effect of brain regions and extracellular space (Hubel et al. 2016)
- Huebel_Andrew_Ullah_2015/
A model of the T-junction of a C-fiber sensory neuron (Sundt et al. 2015)
- SundtEtAl2015/
- SundtEtAl2015/Figure5d/
- SundtEtAl2015/Figure8c/
- SundtEtAl2015/mods/
Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018)
- reducedhaymodel/
- reducedhaymodel/network/
- reducedhaymodel/network/models/
- reducedhaymodel/single_cell/
- reducedhaymodel/single_cell/models/
- reducedhaymodel/single_cell_NML/
- reducedhaymodel/snmf/
- reducedhaymodel/snmf/models/
- reducedhaymodel/snmf/morphologies/
An ion-based model for swelling of neurons and astrocytes (Hubel & Ullah 2016)
- Anions_Govern_Cell_Volume/
Hodgkin–Huxley model with fractional gating (Teka et al. 2016)
- TekaEtAl2016/
Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016)
- WilmesEtAl2016/
- WilmesEtAl2016/mod_files/
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
- modeldbca1/
- modeldbca1/cells/
- modeldbca1/connectivity/
- modeldbca1/datasets/
- modeldbca1/customout/
- modeldbca1/setupfiles/
- modeldbca1/stimulation/
- modeldbca1/.hg/
- modeldbca1/cells/axondists/
- modeldbca1/datasets/.hg/
- modeldbca1/setupfiles/@SimRun/
- modeldbca1/setupfiles/clamp/
- modeldbca1/.hg/undo.bookmarks
- modeldbca1/.hg/cache/
- modeldbca1/.hg/thgstatus
- modeldbca1/.hg/undo.dirstate
- modeldbca1/.hg/store/
- modeldbca1/datasets/.hg/undo.bookmarks
- modeldbca1/datasets/.hg/cache/
- modeldbca1/datasets/.hg/undo.dirstate
- modeldbca1/datasets/.hg/store/
- modeldbca1/.hg/store/phaseroots
- modeldbca1/.hg/store/undo.phaseroots
- modeldbca1/.hg/store/data/
- modeldbca1/datasets/.hg/store/phaseroots
- modeldbca1/datasets/.hg/store/undo.phaseroots
- modeldbca1/datasets/.hg/store/data/
- modeldbca1/.hg/store/data/cells/
- modeldbca1/.hg/store/data/connectivity/
- modeldbca1/.hg/store/data/cellframes/
- modeldbca1/.hg/store/data/datasets/
- modeldbca1/.hg/store/data/customout/
- modeldbca1/.hg/store/data/setupfiles/
- modeldbca1/.hg/store/data/connections/
- modeldbca1/.hg/store/data/stimulation/
- modeldbca1/.hg/store/data/cells/axondists/
- modeldbca1/.hg/store/data/setupfiles/clamp/
- modeldbca1/.hg/store/data/setupfiles/@_sim_run/
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
- STDP_model_src/
- STDP_model_src/odepack/
- STDP_model_src/pngs/
CA1 pyramidal neuron synaptic integration (Bloss et al. 2016)
- arrayTomography/
Pleiotropic effects of SCZ-associated genes (Mäki-Marttunen et al. 2017)
- pleiotropy/
- pleiotropy/severi/
- pleiotropy/hay/
- pleiotropy/kharche/
- pleiotropy/almog/
- pleiotropy/hay/morphologies/
- pleiotropy/hay/models/
- pleiotropy/almog/cells/
Axon growth model (Diehl et al. 2016)
- DiehlEtAl2016/
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
- MasquelierEtAl2016/
- MasquelierEtAl2016/data/
- MasquelierEtAl2016/img/
- MasquelierEtAl2016/img/frame/
- MasquelierEtAl2016/src/
The neocortical microcircuit collaboration portal (Markram et al. 2015)
- nmc_portal/
Parallelizing large networks in NEURON (Lytton et al. 2016)
- LyttonEtAl2016/
Multiscale modeling of epileptic seizures (Naze et al. 2015)
- weblink/
CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016)
- MalerbaEtAl2016/
Fully continuous Pinsky-Rinzel model for bifurcation analysis (Atherton et al. 2016)
- PinskyRinzel_1994/
- PinskyRinzel_1994/Data/
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
- dystdemo/
Functional properties of dendritic gap junctions in Cerebellar Golgi cells (Szoboszlay et al. 2016)
- Golgi/
- Golgi/01_Soma-dendritic_recordings/
- Golgi/01_Soma-dendritic_recordings/01_Control/
- Golgi/01_Soma-dendritic_recordings/01_Control/140307-C1/
- Golgi/01_Soma-dendritic_recordings/01_Control/140311-C0/
- Golgi/01_Soma-dendritic_recordings/01_Control/140311-C1/
- Golgi/01_Soma-dendritic_recordings/01_Control/140311-C1/single cell/
- Golgi/01_Soma-dendritic_recordings/01_Control/140311-C1/syncytium/
- Golgi/01_Soma-dendritic_recordings/01_Control/140311-C1/syncytium/num10/
- Golgi/01_Soma-dendritic_recordings/01_Control/140311-C1/syncytium/num3/
- Golgi/01_Soma-dendritic_recordings/01_Control/140403-C0/
- Golgi/01_Soma-dendritic_recordings/01_Control/140403-C1/
- Golgi/01_Soma-dendritic_recordings/02_Mefloquine/
- Golgi/01_Soma-dendritic_recordings/02_Mefloquine/150430-C1/
- Golgi/01_Soma-dendritic_recordings/02_Mefloquine/150602-C4/
- Golgi/01_Soma-dendritic_recordings/02_Mefloquine/150603-C0/
- Golgi/01_Soma-dendritic_recordings/02_Mefloquine/150603-C3/
- Golgi/01_Soma-dendritic_recordings/02_Mefloquine/150717-C0/
- Golgi/02_Somatic_paired_recordings/
- Golgi/02_Somatic_paired_recordings/140514-C2/
- Golgi/02_Somatic_paired_recordings/140610-C0/
- Golgi/02_Somatic_paired_recordings/140610-C1/
- Golgi/02_Somatic_paired_recordings/140624-C0/
Goldfish Mauthner cell (Medan et al 2017)
- mauthnercell/
A mathematical model of evoked calcium dynamics in astrocytes (Handy et al 2017)
- HandyEtAl2017/
- HandyEtAl2017/Histogram_Figures/
- HandyEtAl2017/Supporting_Functions/
Modeling epileptic seizure induced by depolarization block (Kim & Dykamp 2017)
- Depolarization_block/
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
- DSGC/
- DSGC/OUTPUT/
- DSGC/readme.fld/
Muscle spindle feedback circuit (Moraud et al, 2016)
- neuralnetwork/
- neuralnetwork/afferentsData/
- neuralnetwork/hoc_files/
- neuralnetwork/hoc_files/mod_files/
- neuralnetwork/Info/
- neuralnetwork/python_files/
- neuralnetwork/Recruitment_data/
- neuralnetwork/Results/
- neuralnetwork/text_files/
Model of Type 3 firing in neurons (Clay et al 2008)
- ClayEtAl2008/
Macroscopic model of epilepsy (Fietkiewicz & Loparo 2016)
- FietkiewiczLoparo2016/
Dorsal root ganglion (primary somatosensory) neurons (Rho & Prescott 2012)
- RhoPrescott2012/
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
- jcneurosci_code/
- jcneurosci_code/assign_connectivity_c++_code/
- jcneurosci_code/master_control_sims/
- jcneurosci_code/network_c++_code/
Spatial structure from diffusive synaptic plasticity (Sweeney and Clopath, 2016)
- sweeney-2016-master/
Effects of electric fields on cognitive functions (Migliore et al 2016)
- MiglioreEJN2016/
Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)
- weblink/
- weblink/results/
Grid cell model with compression effects (Raudies & Hasselmo, 2015)
- RaudiesHasselmo2015/
- RaudiesHasselmo2015/DotWorld/
- RaudiesHasselmo2015/screenshots/
Hippocampal spiking model for context dependent behavior (Raudies & Hasselmo 2014)
- CodePublished/
- CodePublished/screenshots/
Deep belief network learns context dependent behavior (Raudies, Zilli, Hasselmo 2014)
- Matlab/
- Matlab/screenshots/
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
- Dura-BernalEtAl2017/
- Dura-BernalEtAl2017/msarm/
Stochastic and periodic inputs tune ongoing oscillations (Hutt et al. 2016)
- HuttEtAl2016/
Automated metadata suggester (McDougal et al 2018)
- metadatasuggestor/
Concentration dependent nonlinear K+ and Cl- leak current (Huang et al. 2015)
- HuangEtAl2015/
Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
- spidemo/
- spidemo/data/
ModFossa: a library for modeling ion channels using Python (Ferneyhough et al 2016)
- modFoss_web_link/
Models of visual topographic map alignment in the Superior Colliculus (Tikidji-Hamburyan et al 2016)
- V1toSCalignment/
Multiple dynamical modes of thalamic relay neurons (Wang XJ 1994)
- web_link/
LGMD with 3D morphology and active dendrites (Dewell & Gabbiani 2018)
- DewellGabbiani2018/
- DewellGabbiani2018/mod_files/
- DewellGabbiani2018/images/
Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016)
- EyalEtAl2016/
- EyalEtAl2016/ActiveModels/
- EyalEtAl2016/Fig1/
- EyalEtAl2016/Fig1/Voltage_traces_1AB/
- EyalEtAl2016/Fig1/Voltage_traces_1CD/
- EyalEtAl2016/Fig3/
- EyalEtAl2016/Fig3/Fig3a/
- EyalEtAl2016/Fig3/Fig3b/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_0/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_1/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_10/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_100/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_101/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_102/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_103/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_104/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_105/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_106/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_107/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_108/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_109/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_11/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_110/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_111/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_112/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_113/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_114/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_115/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_116/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_117/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_118/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_119/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_12/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_120/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_121/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_122/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_123/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_124/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_125/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_126/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_127/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_128/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_129/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_13/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_130/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_131/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_132/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_133/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_134/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_135/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_136/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_137/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_138/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_139/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_14/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_140/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_141/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_142/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_143/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_144/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_145/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_146/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_147/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_148/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_149/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_15/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_150/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_151/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_152/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_153/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_154/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_155/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_156/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_157/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_158/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_159/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_16/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_160/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_161/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_162/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_163/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_164/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_165/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_166/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_167/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_168/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_169/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_17/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_170/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_171/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_172/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_173/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_174/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_175/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_176/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_177/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_178/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_179/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_18/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_180/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_181/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_182/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_183/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_184/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_185/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_186/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_187/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_188/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_189/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_19/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_190/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_191/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_192/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_193/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_194/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_195/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_196/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_197/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_198/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_199/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_2/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_20/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_200/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_201/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_202/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_203/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_204/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_205/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_206/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_207/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_208/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_209/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_21/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_210/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_211/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_212/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_213/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_214/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_215/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_216/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_217/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_218/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_219/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_22/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_220/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_221/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_222/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_223/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_224/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_225/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_226/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_227/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_228/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_229/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_23/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_230/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_231/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_232/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_233/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_234/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_235/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_236/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_237/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_238/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_239/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_24/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_240/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_241/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_242/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_243/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_244/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_245/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_246/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_247/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_248/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_249/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_25/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_250/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_251/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_252/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_253/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_254/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_255/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_256/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_257/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_258/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_259/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_26/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_260/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_261/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_262/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_263/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_264/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_265/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_266/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_267/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_268/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_269/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_27/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_270/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_271/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_272/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_273/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_274/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_275/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_276/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_277/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_278/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_279/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_28/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_280/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_281/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_282/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_283/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_284/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_285/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_286/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_287/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_288/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_289/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_29/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_290/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_291/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_292/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_293/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_294/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_295/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_296/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_297/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_298/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_299/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_3/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_30/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_300/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_31/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_32/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_33/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_34/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_35/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_36/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_37/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_38/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_39/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_4/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_40/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_41/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_42/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_43/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_44/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_45/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_46/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_47/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_48/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_49/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_5/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_50/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_51/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_52/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_53/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_54/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_55/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_56/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_57/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_58/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_59/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_6/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_60/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_61/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_62/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_63/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_64/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_65/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_66/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_67/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_68/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_69/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_7/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_70/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_71/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_72/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_73/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_74/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_75/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_76/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_77/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_78/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_79/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_8/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_80/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_81/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_82/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_83/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_84/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_85/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_86/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_87/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_88/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_89/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_9/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_90/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_91/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_92/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_93/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_94/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_95/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_96/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_97/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_98/
- EyalEtAl2016/Fig3/Fig3b/DIST_045_SYNC/Mon_Apr_11_11_35_14_2016/syns_99/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_0/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_1/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_10/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_100/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_101/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_102/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_103/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_104/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_105/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_106/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_107/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_108/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_109/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_11/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_110/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_111/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_112/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_113/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_114/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_115/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_116/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_117/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_118/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_119/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_12/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_120/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_121/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_122/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_123/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_124/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_125/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_126/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_127/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_128/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_129/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_13/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_130/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_131/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_132/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_133/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_134/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_135/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_136/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_137/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_138/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_139/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_14/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_140/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_141/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_142/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_143/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_144/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_145/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_146/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_147/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_148/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_149/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_15/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_150/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_151/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_152/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_153/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_154/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_155/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_156/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_157/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_158/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_159/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_16/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_160/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_161/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_162/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_163/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_164/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_165/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_166/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_167/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_168/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_169/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_17/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_170/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_171/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_172/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_173/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_174/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_175/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_176/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_177/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_178/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_179/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_18/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_180/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_181/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_182/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_183/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_184/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_185/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_186/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_187/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_188/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_189/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_19/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_190/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_191/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_192/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_193/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_194/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_195/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_196/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_197/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_198/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_199/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_2/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_20/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_200/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_201/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_202/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_203/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_204/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_205/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_206/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_207/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_208/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_209/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_21/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_210/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_211/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_212/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_213/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_214/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_215/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_216/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_217/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_218/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_219/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_22/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_220/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_221/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_222/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_223/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_224/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_225/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_226/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_227/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_228/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_229/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_23/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_230/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_231/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_232/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_233/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_234/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_235/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_236/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_237/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_238/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_239/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_24/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_240/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_241/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_242/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_243/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_244/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_245/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_246/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_247/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_248/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_249/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_25/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_250/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_251/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_252/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_253/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_254/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_255/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_256/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_257/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_258/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_259/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_26/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_260/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_261/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_262/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_263/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_264/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_265/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_266/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_267/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_268/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_269/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_27/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_270/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_271/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_272/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_273/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_274/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_275/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_276/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_277/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_278/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_279/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_28/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_280/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_281/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_282/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_283/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_284/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_285/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_286/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_287/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_288/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_289/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_29/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_290/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_291/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_292/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_293/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_294/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_295/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_296/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_297/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_298/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_299/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_3/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_30/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_300/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_31/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_32/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_33/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_34/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_35/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_36/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_37/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_38/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_39/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_4/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_40/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_41/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_42/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_43/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_44/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_45/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_46/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_47/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_48/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_49/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_5/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_50/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_51/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_52/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_53/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_54/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_55/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_56/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_57/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_58/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_59/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_6/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_60/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_61/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_62/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_63/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_64/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_65/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_66/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_67/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_68/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_69/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_7/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_70/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_71/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_72/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_73/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_74/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_75/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_76/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_77/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_78/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_79/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_8/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_80/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_81/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_82/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_83/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_84/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_85/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_86/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_87/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_88/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_89/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_9/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_90/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_91/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_92/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_93/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_94/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_95/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_96/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_97/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_98/
- EyalEtAl2016/Fig3/Fig3b/DIST_09_SYNC/Mon_Apr_11_11_35_26_2016/syns_99/
- EyalEtAl2016/Fig3/Fig3b/seed/
- EyalEtAl2016/Fig3/Fig3c/
- EyalEtAl2016/mechansims/
- EyalEtAl2016/morphs/
- EyalEtAl2016/PassiveModels/
- EyalEtAl2016/screenshots/
Cognitive and motor cortico-basal ganglia interactions during decision making (Guthrie et al 2013)
- web_link/
Speed/accuracy trade-off between the habitual and the goal-directed processes (Kermati et al. 2011)
- web_link/
HH model neuron of the Suprachiasmatic Nucleus including a persistent Na+ channel (Paul et al 2016)
- PaulEtAl20916/
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
- YangEtAl2016/
DCN fusiform cell (Ceballos et al. 2016)
- FUS_model/
- FUS_model/images/
BDNF morphological contributions to AP enhancement (Galati et al. 2016)
- GalitiEtAl2016/
Cerebellum granule cell FHF (Dover et al. 2016)
- GrC_FHF_ModelDB/
- GrC_FHF_ModelDB/images/
Comparing correlation responses to motion estimation models (Salazar-Gatzimas et al. 2016)
- neuron2016Models/
- neuron2016Models/data/
- neuron2016Models/images/
- neuron2016Models/utils/
Spatially-varying glutamate diffusion coefficient at CA1 synaptic cleft space (Gupta et al. 2016)
- GuptaEtAl2016/
- GuptaEtAl2016/EPSC_generation/
- GuptaEtAl2016/Glutamate_diffusion/
- GuptaEtAl2016/Stochastic_AMPAR_activation/
Large-scale neural model of visual short-term memory (Ulloa, Horwitz 2016; Horwitz, et al. 2005,...)
- lsnm_in_python-master/
- lsnm_in_python-master/analysis/
- lsnm_in_python-master/auditory_model/
- lsnm_in_python-master/auditory_model/old_weights/
- lsnm_in_python-master/auditory_model/subject_10_with_feedback/
- lsnm_in_python-master/auditory_model/subject_10_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_10_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_10_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_10_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_1_OLD/
- lsnm_in_python-master/auditory_model/subject_2_OLD/
- lsnm_in_python-master/auditory_model/subject_2_with_feedback/
- lsnm_in_python-master/auditory_model/subject_2_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_2_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_2_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_2_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_3_with_feedback/
- lsnm_in_python-master/auditory_model/subject_3_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_3_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_3_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_3_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_4_with_feedback/
- lsnm_in_python-master/auditory_model/subject_4_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_4_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_4_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_4_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_5_with_feedback/
- lsnm_in_python-master/auditory_model/subject_5_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_5_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_5_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_5_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_6_with_feedback/
- lsnm_in_python-master/auditory_model/subject_6_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_6_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_6_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_6_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_7_with_feedback/
- lsnm_in_python-master/auditory_model/subject_7_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_7_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_7_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_7_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_8_with_feedback/
- lsnm_in_python-master/auditory_model/subject_8_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_8_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_8_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_8_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_9_with_feedback/
- lsnm_in_python-master/auditory_model/subject_9_with_feedback/output.TC_DMS/
- lsnm_in_python-master/auditory_model/subject_9_with_feedback/output.TC_PSL/
- lsnm_in_python-master/auditory_model/subject_9_with_feedback/output.Tones_DMS/
- lsnm_in_python-master/auditory_model/subject_9_with_feedback/output.Tones_PSL/
- lsnm_in_python-master/auditory_model/subject_original/
- lsnm_in_python-master/auditory_model/subject_original_with_feedback/
- lsnm_in_python-master/simulation/
- lsnm_in_python-master/stimuli_creation/
- lsnm_in_python-master/visual_model/
- lsnm_in_python-master/visual_model/old_weights/
- lsnm_in_python-master/visual_model/subject_1/
- lsnm_in_python-master/visual_model/subject_10/
- lsnm_in_python-master/visual_model/subject_11/
- lsnm_in_python-master/visual_model/subject_12/
- lsnm_in_python-master/visual_model/subject_12/output.36trials/
- lsnm_in_python-master/visual_model/subject_12/output.RestingState/
- lsnm_in_python-master/visual_model/subject_12/output.test/
- lsnm_in_python-master/visual_model/subject_13/
- lsnm_in_python-master/visual_model/subject_14/
- lsnm_in_python-master/visual_model/subject_15/
- lsnm_in_python-master/visual_model/subject_16/
- lsnm_in_python-master/visual_model/subject_17/
- lsnm_in_python-master/visual_model/subject_18/
- lsnm_in_python-master/visual_model/subject_19/
- lsnm_in_python-master/visual_model/subject_2/
- lsnm_in_python-master/visual_model/subject_20/
- lsnm_in_python-master/visual_model/subject_3/
- lsnm_in_python-master/visual_model/subject_4/
- lsnm_in_python-master/visual_model/subject_5/
- lsnm_in_python-master/visual_model/subject_6/
- lsnm_in_python-master/visual_model/subject_7/
- lsnm_in_python-master/visual_model/subject_8/
- lsnm_in_python-master/visual_model/subject_9/
- lsnm_in_python-master/visual_model/subject_netgettest/
- lsnm_in_python-master/visual_model/subject_netgettest/output.36trials/
- lsnm_in_python-master/visual_model/subject_tvb/
- lsnm_in_python-master/visual_model/subject_tvb/output.36trials/
- lsnm_in_python-master/visualization/
Continuous lateral oscillations as a mechanism for taxis in Drosophila larvae (Wystrach et al 2016)
- larvalTaxisWeblink/
Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)
- BuchinEtAl2016ISR/
- BuchinEtAl2016ISR/.git/
- BuchinEtAl2016ISR/.git/hooks/
- BuchinEtAl2016ISR/.git/info/
- BuchinEtAl2016ISR/.git/lfs/
- BuchinEtAl2016ISR/.git/lfs/objects/
- BuchinEtAl2016ISR/.git/lfs/objects/logs/
- BuchinEtAl2016ISR/.git/lfs/tmp/
- BuchinEtAl2016ISR/.git/lfs/tmp/objects/
- BuchinEtAl2016ISR/.git/logs/
- BuchinEtAl2016ISR/.git/logs/refs/
- BuchinEtAl2016ISR/.git/logs/refs/heads/
- BuchinEtAl2016ISR/.git/logs/refs/remotes/
- BuchinEtAl2016ISR/.git/logs/refs/remotes/origin/
- BuchinEtAl2016ISR/.git/objects/
- BuchinEtAl2016ISR/.git/objects/00/
- BuchinEtAl2016ISR/.git/objects/01/
- BuchinEtAl2016ISR/.git/objects/02/
- BuchinEtAl2016ISR/.git/objects/0a/
- BuchinEtAl2016ISR/.git/objects/0b/
- BuchinEtAl2016ISR/.git/objects/12/
- BuchinEtAl2016ISR/.git/objects/14/
- BuchinEtAl2016ISR/.git/objects/1c/
- BuchinEtAl2016ISR/.git/objects/1f/
- BuchinEtAl2016ISR/.git/objects/23/
- BuchinEtAl2016ISR/.git/objects/24/
- BuchinEtAl2016ISR/.git/objects/26/
- BuchinEtAl2016ISR/.git/objects/28/
- BuchinEtAl2016ISR/.git/objects/29/
- BuchinEtAl2016ISR/.git/objects/2e/
- BuchinEtAl2016ISR/.git/objects/30/
- BuchinEtAl2016ISR/.git/objects/33/
- BuchinEtAl2016ISR/.git/objects/37/
- BuchinEtAl2016ISR/.git/objects/3b/
- BuchinEtAl2016ISR/.git/objects/3c/
- BuchinEtAl2016ISR/.git/objects/3d/
- BuchinEtAl2016ISR/.git/objects/3f/
- BuchinEtAl2016ISR/.git/objects/40/
- BuchinEtAl2016ISR/.git/objects/45/
- BuchinEtAl2016ISR/.git/objects/4a/
- BuchinEtAl2016ISR/.git/objects/4b/
- BuchinEtAl2016ISR/.git/objects/4d/
- BuchinEtAl2016ISR/.git/objects/4f/
- BuchinEtAl2016ISR/.git/objects/52/
- BuchinEtAl2016ISR/.git/objects/54/
- BuchinEtAl2016ISR/.git/objects/58/
- BuchinEtAl2016ISR/.git/objects/5d/
- BuchinEtAl2016ISR/.git/objects/60/
- BuchinEtAl2016ISR/.git/objects/61/
- BuchinEtAl2016ISR/.git/objects/64/
- BuchinEtAl2016ISR/.git/objects/67/
- BuchinEtAl2016ISR/.git/objects/68/
- BuchinEtAl2016ISR/.git/objects/71/
- BuchinEtAl2016ISR/.git/objects/72/
- BuchinEtAl2016ISR/.git/objects/73/
- BuchinEtAl2016ISR/.git/objects/7a/
- BuchinEtAl2016ISR/.git/objects/7c/
- BuchinEtAl2016ISR/.git/objects/7d/
- BuchinEtAl2016ISR/.git/objects/7f/
- BuchinEtAl2016ISR/.git/objects/80/
- BuchinEtAl2016ISR/.git/objects/82/
- BuchinEtAl2016ISR/.git/objects/87/
- BuchinEtAl2016ISR/.git/objects/89/
- BuchinEtAl2016ISR/.git/objects/8c/
- BuchinEtAl2016ISR/.git/objects/8d/
- BuchinEtAl2016ISR/.git/objects/8e/
- BuchinEtAl2016ISR/.git/objects/90/
- BuchinEtAl2016ISR/.git/objects/91/
- BuchinEtAl2016ISR/.git/objects/94/
- BuchinEtAl2016ISR/.git/objects/98/
- BuchinEtAl2016ISR/.git/objects/99/
- BuchinEtAl2016ISR/.git/objects/9d/
- BuchinEtAl2016ISR/.git/objects/a0/
- BuchinEtAl2016ISR/.git/objects/a1/
- BuchinEtAl2016ISR/.git/objects/a3/
- BuchinEtAl2016ISR/.git/objects/a5/
- BuchinEtAl2016ISR/.git/objects/aa/
- BuchinEtAl2016ISR/.git/objects/ae/
- BuchinEtAl2016ISR/.git/objects/b1/
- BuchinEtAl2016ISR/.git/objects/b2/
- BuchinEtAl2016ISR/.git/objects/b3/
- BuchinEtAl2016ISR/.git/objects/b6/
- BuchinEtAl2016ISR/.git/objects/b7/
- BuchinEtAl2016ISR/.git/objects/b9/
- BuchinEtAl2016ISR/.git/objects/be/
- BuchinEtAl2016ISR/.git/objects/c1/
- BuchinEtAl2016ISR/.git/objects/c2/
- BuchinEtAl2016ISR/.git/objects/c3/
- BuchinEtAl2016ISR/.git/objects/c7/
- BuchinEtAl2016ISR/.git/objects/c8/
- BuchinEtAl2016ISR/.git/objects/cb/
- BuchinEtAl2016ISR/.git/objects/cc/
- BuchinEtAl2016ISR/.git/objects/cd/
- BuchinEtAl2016ISR/.git/objects/cf/
- BuchinEtAl2016ISR/.git/objects/d0/
- BuchinEtAl2016ISR/.git/objects/d1/
- BuchinEtAl2016ISR/.git/objects/d3/
- BuchinEtAl2016ISR/.git/objects/d8/
- BuchinEtAl2016ISR/.git/objects/dd/
- BuchinEtAl2016ISR/.git/objects/e1/
- BuchinEtAl2016ISR/.git/objects/e2/
- BuchinEtAl2016ISR/.git/objects/e4/
- BuchinEtAl2016ISR/.git/objects/e5/
- BuchinEtAl2016ISR/.git/objects/e6/
- BuchinEtAl2016ISR/.git/objects/eb/
- BuchinEtAl2016ISR/.git/objects/ec/
- BuchinEtAl2016ISR/.git/objects/f4/
- BuchinEtAl2016ISR/.git/objects/f8/
- BuchinEtAl2016ISR/.git/objects/fb/
- BuchinEtAl2016ISR/.git/objects/info/
- BuchinEtAl2016ISR/.git/objects/pack/
- BuchinEtAl2016ISR/.git/refs/
- BuchinEtAl2016ISR/.git/refs/heads/
- BuchinEtAl2016ISR/.git/refs/remotes/
- BuchinEtAl2016ISR/.git/refs/remotes/origin/
- BuchinEtAl2016ISR/.git/refs/tags/
- BuchinEtAl2016ISR/deShutter-Bower/
- BuchinEtAl2016ISR/deShutter-Bower/DSB94_play/
- BuchinEtAl2016ISR/XPP/
- BuchinEtAl2016ISR/XPP/Basin of attraction/
- BuchinEtAl2016ISR/XPP/Basin of attraction/-100/
- BuchinEtAl2016ISR/XPP/Basin of attraction/-150/
- BuchinEtAl2016ISR/XPP/Basin of attraction/-200/
- BuchinEtAl2016ISR/XPP/Basin of attraction/-250/
- BuchinEtAl2016ISR/XPP/Basin of attraction/-50/
- BuchinEtAl2016ISR/XPP/cell1/
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
- BuchinEtAl2016KCC2/
- BuchinEtAl2016KCC2/.git/
- BuchinEtAl2016KCC2/.git/hooks/
- BuchinEtAl2016KCC2/.git/info/
- BuchinEtAl2016KCC2/.git/lfs/
- BuchinEtAl2016KCC2/.git/lfs/objects/
- BuchinEtAl2016KCC2/.git/lfs/objects/logs/
- BuchinEtAl2016KCC2/.git/lfs/tmp/
- BuchinEtAl2016KCC2/.git/lfs/tmp/objects/
- BuchinEtAl2016KCC2/.git/logs/
- BuchinEtAl2016KCC2/.git/logs/refs/
- BuchinEtAl2016KCC2/.git/logs/refs/heads/
- BuchinEtAl2016KCC2/.git/logs/refs/remotes/
- BuchinEtAl2016KCC2/.git/logs/refs/remotes/origin/
- BuchinEtAl2016KCC2/.git/objects/
- BuchinEtAl2016KCC2/.git/objects/00/
- BuchinEtAl2016KCC2/.git/objects/01/
- BuchinEtAl2016KCC2/.git/objects/02/
- BuchinEtAl2016KCC2/.git/objects/03/
- BuchinEtAl2016KCC2/.git/objects/06/
- BuchinEtAl2016KCC2/.git/objects/07/
- BuchinEtAl2016KCC2/.git/objects/08/
- BuchinEtAl2016KCC2/.git/objects/09/
- BuchinEtAl2016KCC2/.git/objects/0a/
- BuchinEtAl2016KCC2/.git/objects/0b/
- BuchinEtAl2016KCC2/.git/objects/0c/
- BuchinEtAl2016KCC2/.git/objects/0d/
- BuchinEtAl2016KCC2/.git/objects/0e/
- BuchinEtAl2016KCC2/.git/objects/0f/
- BuchinEtAl2016KCC2/.git/objects/10/
- BuchinEtAl2016KCC2/.git/objects/11/
- BuchinEtAl2016KCC2/.git/objects/12/
- BuchinEtAl2016KCC2/.git/objects/13/
- BuchinEtAl2016KCC2/.git/objects/14/
- BuchinEtAl2016KCC2/.git/objects/15/
- BuchinEtAl2016KCC2/.git/objects/16/
- BuchinEtAl2016KCC2/.git/objects/17/
- BuchinEtAl2016KCC2/.git/objects/19/
- BuchinEtAl2016KCC2/.git/objects/1a/
- BuchinEtAl2016KCC2/.git/objects/1b/
- BuchinEtAl2016KCC2/.git/objects/1c/
- BuchinEtAl2016KCC2/.git/objects/1d/
- BuchinEtAl2016KCC2/.git/objects/1e/
- BuchinEtAl2016KCC2/.git/objects/1f/
- BuchinEtAl2016KCC2/.git/objects/21/
- BuchinEtAl2016KCC2/.git/objects/24/
- BuchinEtAl2016KCC2/.git/objects/27/
- BuchinEtAl2016KCC2/.git/objects/29/
- BuchinEtAl2016KCC2/.git/objects/2a/
- BuchinEtAl2016KCC2/.git/objects/2b/
- BuchinEtAl2016KCC2/.git/objects/2c/
- BuchinEtAl2016KCC2/.git/objects/2e/
- BuchinEtAl2016KCC2/.git/objects/2f/
- BuchinEtAl2016KCC2/.git/objects/30/
- BuchinEtAl2016KCC2/.git/objects/31/
- BuchinEtAl2016KCC2/.git/objects/34/
- BuchinEtAl2016KCC2/.git/objects/35/
- BuchinEtAl2016KCC2/.git/objects/36/
- BuchinEtAl2016KCC2/.git/objects/37/
- BuchinEtAl2016KCC2/.git/objects/38/
- BuchinEtAl2016KCC2/.git/objects/39/
- BuchinEtAl2016KCC2/.git/objects/3b/
- BuchinEtAl2016KCC2/.git/objects/3d/
- BuchinEtAl2016KCC2/.git/objects/3e/
- BuchinEtAl2016KCC2/.git/objects/3f/
- BuchinEtAl2016KCC2/.git/objects/40/
- BuchinEtAl2016KCC2/.git/objects/41/
- BuchinEtAl2016KCC2/.git/objects/42/
- BuchinEtAl2016KCC2/.git/objects/43/
- BuchinEtAl2016KCC2/.git/objects/44/
- BuchinEtAl2016KCC2/.git/objects/45/
- BuchinEtAl2016KCC2/.git/objects/48/
- BuchinEtAl2016KCC2/.git/objects/49/
- BuchinEtAl2016KCC2/.git/objects/4a/
- BuchinEtAl2016KCC2/.git/objects/4b/
- BuchinEtAl2016KCC2/.git/objects/4d/
- BuchinEtAl2016KCC2/.git/objects/4f/
- BuchinEtAl2016KCC2/.git/objects/50/
- BuchinEtAl2016KCC2/.git/objects/51/
- BuchinEtAl2016KCC2/.git/objects/54/
- BuchinEtAl2016KCC2/.git/objects/55/
- BuchinEtAl2016KCC2/.git/objects/56/
- BuchinEtAl2016KCC2/.git/objects/57/
- BuchinEtAl2016KCC2/.git/objects/58/
- BuchinEtAl2016KCC2/.git/objects/5a/
- BuchinEtAl2016KCC2/.git/objects/5b/
- BuchinEtAl2016KCC2/.git/objects/5c/
- BuchinEtAl2016KCC2/.git/objects/5d/
- BuchinEtAl2016KCC2/.git/objects/5e/
- BuchinEtAl2016KCC2/.git/objects/5f/
- BuchinEtAl2016KCC2/.git/objects/60/
- BuchinEtAl2016KCC2/.git/objects/61/
- BuchinEtAl2016KCC2/.git/objects/62/
- BuchinEtAl2016KCC2/.git/objects/64/
- BuchinEtAl2016KCC2/.git/objects/66/
- BuchinEtAl2016KCC2/.git/objects/67/
- BuchinEtAl2016KCC2/.git/objects/68/
- BuchinEtAl2016KCC2/.git/objects/6a/
- BuchinEtAl2016KCC2/.git/objects/6c/
- BuchinEtAl2016KCC2/.git/objects/6d/
- BuchinEtAl2016KCC2/.git/objects/6e/
- BuchinEtAl2016KCC2/.git/objects/70/
- BuchinEtAl2016KCC2/.git/objects/72/
- BuchinEtAl2016KCC2/.git/objects/73/
- BuchinEtAl2016KCC2/.git/objects/75/
- BuchinEtAl2016KCC2/.git/objects/76/
- BuchinEtAl2016KCC2/.git/objects/77/
- BuchinEtAl2016KCC2/.git/objects/78/
- BuchinEtAl2016KCC2/.git/objects/79/
- BuchinEtAl2016KCC2/.git/objects/7b/
- BuchinEtAl2016KCC2/.git/objects/7e/
- BuchinEtAl2016KCC2/.git/objects/7f/
- BuchinEtAl2016KCC2/.git/objects/80/
- BuchinEtAl2016KCC2/.git/objects/84/
- BuchinEtAl2016KCC2/.git/objects/85/
- BuchinEtAl2016KCC2/.git/objects/86/
- BuchinEtAl2016KCC2/.git/objects/87/
- BuchinEtAl2016KCC2/.git/objects/88/
- BuchinEtAl2016KCC2/.git/objects/8a/
- BuchinEtAl2016KCC2/.git/objects/8b/
- BuchinEtAl2016KCC2/.git/objects/8c/
- BuchinEtAl2016KCC2/.git/objects/8d/
- BuchinEtAl2016KCC2/.git/objects/8f/
- BuchinEtAl2016KCC2/.git/objects/91/
- BuchinEtAl2016KCC2/.git/objects/92/
- BuchinEtAl2016KCC2/.git/objects/93/
- BuchinEtAl2016KCC2/.git/objects/94/
- BuchinEtAl2016KCC2/.git/objects/96/
- BuchinEtAl2016KCC2/.git/objects/98/
- BuchinEtAl2016KCC2/.git/objects/99/
- BuchinEtAl2016KCC2/.git/objects/9b/
- BuchinEtAl2016KCC2/.git/objects/9d/
- BuchinEtAl2016KCC2/.git/objects/9f/
- BuchinEtAl2016KCC2/.git/objects/a1/
- BuchinEtAl2016KCC2/.git/objects/a4/
- BuchinEtAl2016KCC2/.git/objects/a5/
- BuchinEtAl2016KCC2/.git/objects/a6/
- BuchinEtAl2016KCC2/.git/objects/a7/
- BuchinEtAl2016KCC2/.git/objects/a8/
- BuchinEtAl2016KCC2/.git/objects/a9/
- BuchinEtAl2016KCC2/.git/objects/aa/
- BuchinEtAl2016KCC2/.git/objects/ab/
- BuchinEtAl2016KCC2/.git/objects/ad/
- BuchinEtAl2016KCC2/.git/objects/ae/
- BuchinEtAl2016KCC2/.git/objects/b2/
- BuchinEtAl2016KCC2/.git/objects/b3/
- BuchinEtAl2016KCC2/.git/objects/b4/
- BuchinEtAl2016KCC2/.git/objects/b5/
- BuchinEtAl2016KCC2/.git/objects/b6/
- BuchinEtAl2016KCC2/.git/objects/b7/
- BuchinEtAl2016KCC2/.git/objects/b8/
- BuchinEtAl2016KCC2/.git/objects/b9/
- BuchinEtAl2016KCC2/.git/objects/bb/
- BuchinEtAl2016KCC2/.git/objects/bc/
- BuchinEtAl2016KCC2/.git/objects/c0/
- BuchinEtAl2016KCC2/.git/objects/c1/
- BuchinEtAl2016KCC2/.git/objects/c3/
- BuchinEtAl2016KCC2/.git/objects/c4/
- BuchinEtAl2016KCC2/.git/objects/c5/
- BuchinEtAl2016KCC2/.git/objects/c7/
- BuchinEtAl2016KCC2/.git/objects/c8/
- BuchinEtAl2016KCC2/.git/objects/c9/
- BuchinEtAl2016KCC2/.git/objects/cb/
- BuchinEtAl2016KCC2/.git/objects/cc/
- BuchinEtAl2016KCC2/.git/objects/cd/
- BuchinEtAl2016KCC2/.git/objects/ce/
- BuchinEtAl2016KCC2/.git/objects/cf/
- BuchinEtAl2016KCC2/.git/objects/d0/
- BuchinEtAl2016KCC2/.git/objects/d1/
- BuchinEtAl2016KCC2/.git/objects/d2/
- BuchinEtAl2016KCC2/.git/objects/d3/
- BuchinEtAl2016KCC2/.git/objects/d4/
- BuchinEtAl2016KCC2/.git/objects/d5/
- BuchinEtAl2016KCC2/.git/objects/d6/
- BuchinEtAl2016KCC2/.git/objects/d7/
- BuchinEtAl2016KCC2/.git/objects/d8/
- BuchinEtAl2016KCC2/.git/objects/db/
- BuchinEtAl2016KCC2/.git/objects/dc/
- BuchinEtAl2016KCC2/.git/objects/dd/
- BuchinEtAl2016KCC2/.git/objects/df/
- BuchinEtAl2016KCC2/.git/objects/e0/
- BuchinEtAl2016KCC2/.git/objects/e1/
- BuchinEtAl2016KCC2/.git/objects/e2/
- BuchinEtAl2016KCC2/.git/objects/e5/
- BuchinEtAl2016KCC2/.git/objects/e7/
- BuchinEtAl2016KCC2/.git/objects/e8/
- BuchinEtAl2016KCC2/.git/objects/ea/
- BuchinEtAl2016KCC2/.git/objects/ec/
- BuchinEtAl2016KCC2/.git/objects/ed/
- BuchinEtAl2016KCC2/.git/objects/ee/
- BuchinEtAl2016KCC2/.git/objects/ef/
- BuchinEtAl2016KCC2/.git/objects/f0/
- BuchinEtAl2016KCC2/.git/objects/f1/
- BuchinEtAl2016KCC2/.git/objects/f2/
- BuchinEtAl2016KCC2/.git/objects/f3/
- BuchinEtAl2016KCC2/.git/objects/f4/
- BuchinEtAl2016KCC2/.git/objects/f6/
- BuchinEtAl2016KCC2/.git/objects/f7/
- BuchinEtAl2016KCC2/.git/objects/f8/
- BuchinEtAl2016KCC2/.git/objects/f9/
- BuchinEtAl2016KCC2/.git/objects/fb/
- BuchinEtAl2016KCC2/.git/objects/fc/
- BuchinEtAl2016KCC2/.git/objects/fd/
- BuchinEtAl2016KCC2/.git/objects/fe/
- BuchinEtAl2016KCC2/.git/objects/info/
- BuchinEtAl2016KCC2/.git/objects/pack/
- BuchinEtAl2016KCC2/.git/refs/
- BuchinEtAl2016KCC2/.git/refs/heads/
- BuchinEtAl2016KCC2/.git/refs/remotes/
- BuchinEtAl2016KCC2/.git/refs/remotes/origin/
- BuchinEtAl2016KCC2/.git/refs/tags/
- BuchinEtAl2016KCC2/Fig. 1/
- BuchinEtAl2016KCC2/Fig. 1/C/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 norm/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 norm/PSP/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 norm/V=-64mV/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 norm/V=-90mV/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 path/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 path/PSP/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 path/V=-68mV/
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 path/V=-90mV/
- BuchinEtAl2016KCC2/Fig. 1/D/
- BuchinEtAl2016KCC2/Fig. 1/D/Data_fit/
- BuchinEtAl2016KCC2/Fig. 2/
- BuchinEtAl2016KCC2/Fig. 2/B/
- BuchinEtAl2016KCC2/Fig. 2/bif diagram/
- BuchinEtAl2016KCC2/Fig. 2/C/
- BuchinEtAl2016KCC2/Fig. 2/C/5Hz/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/Different frequencies/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/Single series/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/Single series/10Hz/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/SN_fit/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/SN_fit/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/Stimulation frequencies/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/Stimulation frequencies/KCC2(+)/
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/Stimulation frequencies/KCC2(-)/
- BuchinEtAl2016KCC2/Fig. 2/Simulations/
- BuchinEtAl2016KCC2/Fig. 3/
- BuchinEtAl2016KCC2/Fig. 3/Simulations/
- BuchinEtAl2016KCC2/Fig. 4/
- BuchinEtAl2016KCC2/Fig. 4/A/
- BuchinEtAl2016KCC2/Fig. 4/B/
- BuchinEtAl2016KCC2/Fig. 4/C/
- BuchinEtAl2016KCC2/Fig. 4/D/
- BuchinEtAl2016KCC2/Fig. 4/simulations/
- BuchinEtAl2016KCC2/Fig. 5/
- BuchinEtAl2016KCC2/Fig. 5/A/
- BuchinEtAl2016KCC2/Fig. 5/B/
- BuchinEtAl2016KCC2/Fig. 5/C/
- BuchinEtAl2016KCC2/Fig. 5/D/
- BuchinEtAl2016KCC2/Fig. 5/Simulations/
- BuchinEtAl2016KCC2/Fig. 6/
- BuchinEtAl2016KCC2/Fig. 6/A/
- BuchinEtAl2016KCC2/Fig. 6/B/
- BuchinEtAl2016KCC2/Fig. 6/C/
- BuchinEtAl2016KCC2/Fig. 6/D/
- BuchinEtAl2016KCC2/Fig. 6/D/Experiment/
- BuchinEtAl2016KCC2/Fig. 6/D/Model/
- BuchinEtAl2016KCC2/Fig. 6/Simulations/
- BuchinEtAl2016KCC2/Fig. 6/Simulations/Control - no KCC2(-) cells/
- BuchinEtAl2016KCC2/Fig. 6/Simulations/Control - no KCC2(-) cells/gEE_gEI/
- BuchinEtAl2016KCC2/Fig. 6/Simulations/Control - no KCC2(-) cells/gEE_gIE/
- BuchinEtAl2016KCC2/Fig. 6/Simulations/gEE_gEI/
- BuchinEtAl2016KCC2/Fig. 6/Simulations/gEE_gIE/
- BuchinEtAl2016KCC2/Fig. 7/
- BuchinEtAl2016KCC2/Fig. 7/A/
- BuchinEtAl2016KCC2/Fig. 7/B/
- BuchinEtAl2016KCC2/Fig. 7/C/
- BuchinEtAl2016KCC2/Fig. 7/D/
- BuchinEtAl2016KCC2/Fig. 7/simulations/
- BuchinEtAl2016KCC2/Fig. 7/simulations/KCC2%/
- BuchinEtAl2016KCC2/Fig. 8/
- BuchinEtAl2016KCC2/Fig. 8/A/
- BuchinEtAl2016KCC2/Fig. 8/B/
- BuchinEtAl2016KCC2/Fig. 8/C/
- BuchinEtAl2016KCC2/Fig. 8/Simulations/
- BuchinEtAl2016KCC2/Fig. 8/Simulations/40% run/
Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b)
- DAmodelDB/
Spikelet generation and AP initiation in a L5 neocortical pyr neuron (Michalikova et al. 2017) Fig 1
- MichalikovaEtAl2016Fig1/
- MichalikovaEtAl2016Fig1/morphology/
Spikelet generation and AP initiation in a simplified pyr neuron (Michalikova et al. 2017) Fig 3
- MichalikovaEtAl2016Fig3/
Earthworm medial giant fiber conduction velocity across electrical synapses (Heller, Crisp 2016)
- HellerCrisp2016/
A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017)
- aob_bursts_integration/
- aob_bursts_integration/channels/
Infraslow intrinsic rhythmogenesis in a subset of AOB projection neurons (Gorin et al 2016)
- Gorin_et_al_2016/
Regulation of motoneuron excitability by KCNQ/Kv7 modulators (Lombardo & Harrington 2016)
- LombardoHarrington2016/
Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016)
- KuchibhotlaEtAl2016/
Reverberatory bursts propagation and synchronization in developing cultured NNs (Huang et al 2016)
- HuangEtAl2016/
Supervised learning with predictive coding (Whittington & Bogacz 2017)
- WhittingtonBogacz2017/
Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014)
- HybridModelMatlab/
Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
- GentilettiEtAl2016/
Synaptic integration by MEC neurons (Justus et al. 2017)
- NEURON_mEC/
- NEURON_mEC/data/
Model of a BDNF feedback loop (Zhang et al 2016)
- ZhangEtAl2016/
Distance-dependent synaptic strength in CA1 pyramidal neurons (Menon et al. 2013)
- MenonEtAl2013/
A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
- LTD_STEPS_2.1/
A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016)
- Code_Pedrosa_and_Clopath_16/
- Code_Pedrosa_and_Clopath_16/Data_hom_stimulation/
- Code_Pedrosa_and_Clopath_16/Data_RF_shift/
- Code_Pedrosa_and_Clopath_16/Data_Activity_vs_Learning_rate/
- Code_Pedrosa_and_Clopath_16/Figures/
Interneuron Specific 3 Interneuron Model (Guet-McCreight et al, 2016)
- Guet-McCreightEtAl2016/
- Guet-McCreightEtAl2016/S2/
- Guet-McCreightEtAl2016/SD/
- Guet-McCreightEtAl2016/SDprox2/
- Guet-McCreightEtAl2016/S1/
- Guet-McCreightEtAl2016/SDprox1/
Ca2+ oscillations in single astrocytes (Lavrentovich and Hemkin 2008) (python) (Manninen et al 2017)
- LavrentovichHemkin2008python/
- LavrentovichHemkin2008python/.ipynb_checkpoints/
Glutamate-evoked Ca2+ oscillations in single astrocytes (De Pitta et al. 2009) (Manninen et al 2017)
- DePittaEtAl2009/
Spontaneous calcium oscillations in single astrocytes (Riera et al. 2011) (Manninen et al 2017)
- Riera2011/
Glutamate-evoked Ca2+ oscillations in single astrocytes (Modified from Dupont et al. 2011)
- ModifiedDupont2011/
Reproducibility and comparability of models for astrocyte Ca2+ excitability (Manninen et al 2017)
- weblink/
Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016)
- AlturkiEtAl2016/
- AlturkiEtAl2016/1_Hemond/
- AlturkiEtAl2016/1_Hemond/Original/
- AlturkiEtAl2016/1_Hemond/Segregated/
- AlturkiEtAl2016/2_Pospischil/
- AlturkiEtAl2016/2_Pospischil/Original/
- AlturkiEtAl2016/2_Pospischil/Segregated/
- AlturkiEtAl2016/3_Mitral/
- AlturkiEtAl2016/3_Mitral/Original/
- AlturkiEtAl2016/3_Mitral/Segregated/
- AlturkiEtAl2016/4_LA/
- AlturkiEtAl2016/4_LA/Original/
- AlturkiEtAl2016/4_LA/Segregated/
Species-specific wiring for direction selectivity in the mammalian retina (Ding et al 2016)
- weblink/
Rat LGN Thalamocortical Neuron (Connelly et al 2015, 2016)
- ConnellyEtAl2015_2016/
- ConnellyEtAl2015_2016/.git/
- ConnellyEtAl2015_2016/.git/objects/
- ConnellyEtAl2015_2016/.git/info/
- ConnellyEtAl2015_2016/.git/logs/
- ConnellyEtAl2015_2016/.git/hooks/
- ConnellyEtAl2015_2016/.git/refs/
- ConnellyEtAl2015_2016/.git/branches/
- ConnellyEtAl2015_2016/.git/objects/0c/
- ConnellyEtAl2015_2016/.git/objects/3e/
- ConnellyEtAl2015_2016/.git/objects/69/
- ConnellyEtAl2015_2016/.git/objects/58/
- ConnellyEtAl2015_2016/.git/objects/60/
- ConnellyEtAl2015_2016/.git/objects/5a/
- ConnellyEtAl2015_2016/.git/objects/33/
- ConnellyEtAl2015_2016/.git/objects/be/
- ConnellyEtAl2015_2016/.git/objects/bd/
- ConnellyEtAl2015_2016/.git/objects/ee/
- ConnellyEtAl2015_2016/.git/objects/fc/
- ConnellyEtAl2015_2016/.git/objects/pack/
- ConnellyEtAl2015_2016/.git/objects/1f/
- ConnellyEtAl2015_2016/.git/objects/28/
- ConnellyEtAl2015_2016/.git/objects/31/
- ConnellyEtAl2015_2016/.git/objects/info/
- ConnellyEtAl2015_2016/.git/objects/96/
- ConnellyEtAl2015_2016/.git/objects/5e/
- ConnellyEtAl2015_2016/.git/objects/6c/
- ConnellyEtAl2015_2016/.git/objects/64/
- ConnellyEtAl2015_2016/.git/objects/de/
- ConnellyEtAl2015_2016/.git/objects/79/
- ConnellyEtAl2015_2016/.git/objects/83/
- ConnellyEtAl2015_2016/.git/objects/84/
- ConnellyEtAl2015_2016/.git/objects/85/
- ConnellyEtAl2015_2016/.git/logs/refs/
- ConnellyEtAl2015_2016/.git/refs/heads/
- ConnellyEtAl2015_2016/.git/refs/tags/
- ConnellyEtAl2015_2016/.git/refs/remotes/
- ConnellyEtAl2015_2016/.git/logs/refs/heads/
- ConnellyEtAl2015_2016/.git/logs/refs/remotes/
- ConnellyEtAl2015_2016/.git/refs/remotes/origin/
- ConnellyEtAl2015_2016/.git/logs/refs/remotes/origin/
Model of CA1 activity during working memory task (Spera et al. 2016)
- SperaEtAl2016/
Phase-locking analysis with transcranial magneto-acoustical stimulation (Yuan et al 2017)
- YuanEtAl2017/
- YuanEtAl2017/matlab code/
Impedance spectrum in cortical tissue: implications for LFP signal propagation (Miceli et al. 2017)
- tissue_impedance_impact/
- tissue_impedance_impact/.idea/
- tissue_impedance_impact/.idea/inspectionProfiles/
- tissue_impedance_impact/hay/
- tissue_impedance_impact/hay/sim_results/
Sloppy morphological tuning in identified neurons of the crustacean STG (Otopalik et al 2017)
- OtopalikEtAl2017/
A model of optimal learning with redundant synaptic connections (Hiratani & Fukai 2018)
- HirataniFukai2018/
- HirataniFukai2018/data/
CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
- GrienbergerEtAl2017/
- GrienbergerEtAl2017/morphologies/
Na+ Signals in olfactory bulb neurons (granule cell model) (Ona-Jodar et al. 2017)
- GC-gna_distribution/
Parallel STEPS: Large scale stochastic spatial reaction-diffusion simulat. (Chen & De Schutter 2017)
- Chen_Front_2017/
- Chen_Front_2017/purkinje_model/
- Chen_Front_2017/purkinje_model/ca_activity_result_example/
- Chen_Front_2017/purkinje_model/extra/
- Chen_Front_2017/purkinje_model/meshes/
- Chen_Front_2017/purkinje_model/meshes/partition/
- Chen_Front_2017/simple_model/
- Chen_Front_2017/simple_model/meshes/
COREM: configurable retina simulator (Martínez-Cañada et al., 2016)
- COREM-master/
- COREM-master/COREM/
- COREM-master/COREM/CImg-1.6.0_rolling141127/
- COREM-master/COREM/CImg-1.6.0_rolling141127/examples/
- COREM-master/COREM/CImg-1.6.0_rolling141127/examples/img/
- COREM-master/COREM/CImg-1.6.0_rolling141127/plugins/
- COREM-master/COREM/CImg-1.6.0_rolling141127/resources/
- COREM-master/COREM/input_sequences/
- COREM-master/COREM/input_sequences/Weberlaw/
- COREM-master/COREM/input_sequences/Weberlaw/0_128/
- COREM-master/COREM/input_sequences/Weberlaw/0_255/
- COREM-master/COREM/NEST_Module/
- COREM-master/COREM/NEST_Module/sli/
- COREM-master/COREM/NEST_scripts/
- COREM-master/COREM/Retina_scripts/
- COREM-master/COREM/src/
- COREM-master/docs/
- COREM-master/docs/_layouts/
- COREM-master/tools/
A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015)
- SpecNet/Icon
Effect of ionic diffusion on extracellular potentials (Halnes et al 2016)
- NvoxModelDB/
- NvoxModelDB/haymod_sumcurr/
- NvoxModelDB/haymod_sumcurr/models/
- NvoxModelDB/haymod_sumcurr/morphologies/
A comparison of mathematical models of mood in bipolar disorder (Cochran et al. 2017)
- web_link/
Neuron-based control mechanisms for a robotic arm and hand (Singh et al 2017)
- SinghEtAl2017/
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
- GlabskaEtAl2017/
Reproducing infra-slow oscillations with dopaminergic modulation (Kobayashi et al 2017)
- spnet_code/
High entrainment constrains synaptic depression in a globular bushy cell (Rudnicki & Hemmert 2017)
- RudnickiHemmert2017_web_link/
CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017)
- GunnEtAl/
Dopamine neuron of the vent. periaqu. gray and dors. raphe nucleus (vlPAG/DRN) (Dougalis et al 2017)
- DougalisEtAl2017model/
Mechanisms underlying different onset patterns of focal seizures (Wang Y et al 2017)
- WangYetAl2017/
- WangYetAl2017/lib/
VTA dopamine neuron (Tarfa, Evans, and Khaliq 2017)
- VTA2.14clean/
- VTA2.14clean/DAcell/
- VTA2.14clean/DAcell/channels/
- VTA2.14clean/DAstims/
- VTA2.14clean/output/
Optimal balance predicts/explains amplitude and decay time of iPSGs (Kim & Fiorillo 2017)
- KimEtAl2017/
Principles governing the operation of synaptic inhibition in dendrites (Gidon & Segev 2012)
- fig1b/
- fig1b/10nS/
- fig1b/11nS/
- fig1b/12nS/
- fig1b/1nS/
- fig1b/2nS/
- fig1b/3nS/
- fig1b/4nS/
- fig1b/5nS/
- fig1b/6nS/
- fig1b/7nS/
- fig1b/8nS/
- fig1b/9nS/
- fig1b/matlab_figs/
- fig1b/spike_times/
Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)
- KobayashiEtAl2009/
Linking dynamics of the inhibitory network to the input structure (Komarov & Bazhenov 2016)
- KomarovBazhenov2016/
Multi-timescale adaptive threshold model (Kobayashi et al 2009)
- KobayashiEtAl2009weblink/
- KobayashiEtAl2009weblink/backup/
Neural mass model of the sleeping cortex (Weigenand et al 2014)
- NM_Cortex-master/
- NM_Cortex-master/Figures/
- NM_Cortex-master/Figures/Tools/
- NM_Cortex-master/Figures/Data/
Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016)
- NM_Thalamus-master/
- NM_Thalamus-master/Figures/
- NM_Thalamus-master/Figures/Tools/
- NM_Thalamus-master/Figures/Data/
Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016)
- NM_TC-master/
- NM_TC-master/Figures/
- NM_TC-master/Figures/Tools/
- NM_TC-master/Figures/Data/
- NM_TC-master/Figures/Data/Orig/
Neural mass model of the neocortex under sleep regulation (Costa et al 2016)
- NM_Cortex_SR-master/
- NM_Cortex_SR-master/Figures/
- NM_Cortex_SR-master/Figures/Tools/
- NM_Cortex_SR-master/Figures/Data/
MCCAIS model (multicompartmental cooperative AIS) (Öz et al 2015)
- OzEtAl2015/
Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
- tomodel/
- tomodel/mtrand/
- tomodel/mtrand/.svn/
- tomodel/mtrand/.svn/text-base/
- tomodel/mtrand/.svn/prop-base/
- tomodel/distributionPlot/
- tomodel/figs/
- tomodel/data/
- tomodel/fig/
- tomodel/exportfig/
- tomodel/exportfig/.ignore/
Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017)
- weblink/
Discrimination on behavioral time-scales mediated by reaction-diffusion in dendrites (Bhalla 2017)
- Supplementary/
- Supplementary/images/
Cerebellar granular layer (Maex and De Schutter 1998)
- Granular-layer-cerebellum/
- Granular-layer-cerebellum/Golgi_cell/
- Granular-layer-cerebellum/Golgi_cell/results/
- Granular-layer-cerebellum/Granule_cell/
- Granular-layer-cerebellum/Granule_cell/results/
- Granular-layer-cerebellum/Gran_layer_1D/
- Granular-layer-cerebellum/Gran_layer_1D/results/
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
- CorbitWhalenEtAl2016/
A neural mass model of cross frequency coupling (Chehelcheraghi et al 2017)
- ChehelcheraghiEtAl2017/
Phosphoinositide-Dependent Signaling in Sympathetic Neurons (SCG) (Kruse et al. 2016)
- weblink/
Nicotinic control of dopamine release in nucleus accumbens (Maex et al. 2014)
- MaexEtAl2014/
- MaexEtAl2014/Fig2/
- MaexEtAl2014/Fig3/
- MaexEtAl2014/Fig6/
- MaexEtAl2014/FigS4/
- MaexEtAl2014/FigS5/
Human seizures couple across spatial scales through travelling wave dynamics (Martinet et al 2017)
- web_link/
L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017)
- layer_4_sim/generate_figures/
- layer_4_sim/parameter_survey/
- layer_4_sim/scripts/
- layer_4_sim/simulation_program/
Firing patterns of CA3 hippocampal neurons (Soldado-Magraner et al. 2019)
- SoldadoMagranerEtAl2019/
Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017)
- shotnoise_analytics/
- shotnoise_analytics/analytics/
- shotnoise_analytics/analytics/.git/
- shotnoise_analytics/analytics/.git/branches/
- shotnoise_analytics/analytics/.git/hooks/
- shotnoise_analytics/analytics/.git/info/
- shotnoise_analytics/analytics/.git/logs/
- shotnoise_analytics/analytics/.git/logs/refs/
- shotnoise_analytics/analytics/.git/logs/refs/heads/
- shotnoise_analytics/analytics/.git/logs/refs/remotes/
- shotnoise_analytics/analytics/.git/logs/refs/remotes/origin/
- shotnoise_analytics/analytics/.git/objects/
- shotnoise_analytics/analytics/.git/objects/01/
- shotnoise_analytics/analytics/.git/objects/02/
- shotnoise_analytics/analytics/.git/objects/03/
- shotnoise_analytics/analytics/.git/objects/06/
- shotnoise_analytics/analytics/.git/objects/08/
- shotnoise_analytics/analytics/.git/objects/10/
- shotnoise_analytics/analytics/.git/objects/13/
- shotnoise_analytics/analytics/.git/objects/1a/
- shotnoise_analytics/analytics/.git/objects/1e/
- shotnoise_analytics/analytics/.git/objects/20/
- shotnoise_analytics/analytics/.git/objects/22/
- shotnoise_analytics/analytics/.git/objects/2b/
- shotnoise_analytics/analytics/.git/objects/32/
- shotnoise_analytics/analytics/.git/objects/37/
- shotnoise_analytics/analytics/.git/objects/38/
- shotnoise_analytics/analytics/.git/objects/3e/
- shotnoise_analytics/analytics/.git/objects/40/
- shotnoise_analytics/analytics/.git/objects/41/
- shotnoise_analytics/analytics/.git/objects/42/
- shotnoise_analytics/analytics/.git/objects/46/
- shotnoise_analytics/analytics/.git/objects/48/
- shotnoise_analytics/analytics/.git/objects/49/
- shotnoise_analytics/analytics/.git/objects/4b/
- shotnoise_analytics/analytics/.git/objects/54/
- shotnoise_analytics/analytics/.git/objects/5d/
- shotnoise_analytics/analytics/.git/objects/5e/
- shotnoise_analytics/analytics/.git/objects/5f/
- shotnoise_analytics/analytics/.git/objects/63/
- shotnoise_analytics/analytics/.git/objects/69/
- shotnoise_analytics/analytics/.git/objects/6a/
- shotnoise_analytics/analytics/.git/objects/6d/
- shotnoise_analytics/analytics/.git/objects/73/
- shotnoise_analytics/analytics/.git/objects/7a/
- shotnoise_analytics/analytics/.git/objects/80/
- shotnoise_analytics/analytics/.git/objects/81/
- shotnoise_analytics/analytics/.git/objects/84/
- shotnoise_analytics/analytics/.git/objects/85/
- shotnoise_analytics/analytics/.git/objects/86/
- shotnoise_analytics/analytics/.git/objects/8b/
- shotnoise_analytics/analytics/.git/objects/8c/
- shotnoise_analytics/analytics/.git/objects/8d/
- shotnoise_analytics/analytics/.git/objects/8e/
- shotnoise_analytics/analytics/.git/objects/93/
- shotnoise_analytics/analytics/.git/objects/95/
- shotnoise_analytics/analytics/.git/objects/98/
- shotnoise_analytics/analytics/.git/objects/9d/
- shotnoise_analytics/analytics/.git/objects/9e/
- shotnoise_analytics/analytics/.git/objects/a1/
- shotnoise_analytics/analytics/.git/objects/a2/
- shotnoise_analytics/analytics/.git/objects/a4/
- shotnoise_analytics/analytics/.git/objects/a6/
- shotnoise_analytics/analytics/.git/objects/a9/
- shotnoise_analytics/analytics/.git/objects/ae/
- shotnoise_analytics/analytics/.git/objects/af/
- shotnoise_analytics/analytics/.git/objects/b4/
- shotnoise_analytics/analytics/.git/objects/b6/
- shotnoise_analytics/analytics/.git/objects/b8/
- shotnoise_analytics/analytics/.git/objects/be/
- shotnoise_analytics/analytics/.git/objects/c0/
- shotnoise_analytics/analytics/.git/objects/c2/
- shotnoise_analytics/analytics/.git/objects/c3/
- shotnoise_analytics/analytics/.git/objects/c4/
- shotnoise_analytics/analytics/.git/objects/c8/
- shotnoise_analytics/analytics/.git/objects/ca/
- shotnoise_analytics/analytics/.git/objects/cc/
- shotnoise_analytics/analytics/.git/objects/d1/
- shotnoise_analytics/analytics/.git/objects/d4/
- shotnoise_analytics/analytics/.git/objects/d5/
- shotnoise_analytics/analytics/.git/objects/d9/
- shotnoise_analytics/analytics/.git/objects/da/
- shotnoise_analytics/analytics/.git/objects/dc/
- shotnoise_analytics/analytics/.git/objects/de/
- shotnoise_analytics/analytics/.git/objects/df/
- shotnoise_analytics/analytics/.git/objects/e0/
- shotnoise_analytics/analytics/.git/objects/e1/
- shotnoise_analytics/analytics/.git/objects/e2/
- shotnoise_analytics/analytics/.git/objects/e6/
- shotnoise_analytics/analytics/.git/objects/ea/
- shotnoise_analytics/analytics/.git/objects/eb/
- shotnoise_analytics/analytics/.git/objects/ed/
- shotnoise_analytics/analytics/.git/objects/ee/
- shotnoise_analytics/analytics/.git/objects/f4/
- shotnoise_analytics/analytics/.git/objects/f6/
- shotnoise_analytics/analytics/.git/objects/f8/
- shotnoise_analytics/analytics/.git/objects/ff/
- shotnoise_analytics/analytics/.git/objects/info/
- shotnoise_analytics/analytics/.git/objects/pack/
- shotnoise_analytics/analytics/.git/refs/
- shotnoise_analytics/analytics/.git/refs/heads/
- shotnoise_analytics/analytics/.git/refs/remotes/
- shotnoise_analytics/analytics/.git/refs/remotes/origin/
- shotnoise_analytics/analytics/.git/refs/tags/
- shotnoise_analytics/analytics/__init__.py
- shotnoise_analytics/analytics/decorators/
- shotnoise_analytics/analytics/decorators/__init__.py
- shotnoise_analytics/analytics/dichotomous_noise_driven/
- shotnoise_analytics/analytics/dichotomous_noise_driven/__init__.py
- shotnoise_analytics/analytics/gaussian_white_noise_driven/
- shotnoise_analytics/analytics/gaussian_white_noise_driven/__init__.py
- shotnoise_analytics/analytics/README
- shotnoise_analytics/analytics/shot_noise_driven/
- shotnoise_analytics/analytics/shot_noise_driven/__init__.py
- shotnoise_analytics/analytics/shot_noise_driven/eif_phi/
- shotnoise_analytics/analytics/specfunc/
- shotnoise_analytics/data/
- shotnoise_analytics/grace_plot/
- shotnoise_analytics/grace_plot/.git/
- shotnoise_analytics/grace_plot/.git/branches/
- shotnoise_analytics/grace_plot/.git/hooks/
- shotnoise_analytics/grace_plot/.git/info/
- shotnoise_analytics/grace_plot/.git/logs/
- shotnoise_analytics/grace_plot/.git/logs/refs/
- shotnoise_analytics/grace_plot/.git/logs/refs/heads/
- shotnoise_analytics/grace_plot/.git/logs/refs/remotes/
- shotnoise_analytics/grace_plot/.git/logs/refs/remotes/origin/
- shotnoise_analytics/grace_plot/.git/objects/
- shotnoise_analytics/grace_plot/.git/objects/07/
- shotnoise_analytics/grace_plot/.git/objects/08/
- shotnoise_analytics/grace_plot/.git/objects/09/
- shotnoise_analytics/grace_plot/.git/objects/11/
- shotnoise_analytics/grace_plot/.git/objects/25/
- shotnoise_analytics/grace_plot/.git/objects/2c/
- shotnoise_analytics/grace_plot/.git/objects/2d/
- shotnoise_analytics/grace_plot/.git/objects/35/
- shotnoise_analytics/grace_plot/.git/objects/36/
- shotnoise_analytics/grace_plot/.git/objects/3a/
- shotnoise_analytics/grace_plot/.git/objects/41/
- shotnoise_analytics/grace_plot/.git/objects/48/
- shotnoise_analytics/grace_plot/.git/objects/4b/
- shotnoise_analytics/grace_plot/.git/objects/4c/
- shotnoise_analytics/grace_plot/.git/objects/4f/
- shotnoise_analytics/grace_plot/.git/objects/51/
- shotnoise_analytics/grace_plot/.git/objects/55/
- shotnoise_analytics/grace_plot/.git/objects/65/
- shotnoise_analytics/grace_plot/.git/objects/67/
- shotnoise_analytics/grace_plot/.git/objects/77/
- shotnoise_analytics/grace_plot/.git/objects/8a/
- shotnoise_analytics/grace_plot/.git/objects/8f/
- shotnoise_analytics/grace_plot/.git/objects/96/
- shotnoise_analytics/grace_plot/.git/objects/a0/
- shotnoise_analytics/grace_plot/.git/objects/a2/
- shotnoise_analytics/grace_plot/.git/objects/a6/
- shotnoise_analytics/grace_plot/.git/objects/af/
- shotnoise_analytics/grace_plot/.git/objects/b1/
- shotnoise_analytics/grace_plot/.git/objects/b2/
- shotnoise_analytics/grace_plot/.git/objects/c1/
- shotnoise_analytics/grace_plot/.git/objects/c2/
- shotnoise_analytics/grace_plot/.git/objects/c4/
- shotnoise_analytics/grace_plot/.git/objects/c6/
- shotnoise_analytics/grace_plot/.git/objects/d7/
- shotnoise_analytics/grace_plot/.git/objects/dc/
- shotnoise_analytics/grace_plot/.git/objects/de/
- shotnoise_analytics/grace_plot/.git/objects/e1/
- shotnoise_analytics/grace_plot/.git/objects/e5/
- shotnoise_analytics/grace_plot/.git/objects/e9/
- shotnoise_analytics/grace_plot/.git/objects/f1/
- shotnoise_analytics/grace_plot/.git/objects/f8/
- shotnoise_analytics/grace_plot/.git/objects/ff/
- shotnoise_analytics/grace_plot/.git/objects/info/
- shotnoise_analytics/grace_plot/.git/objects/pack/
- shotnoise_analytics/grace_plot/.git/refs/
- shotnoise_analytics/grace_plot/.git/refs/heads/
- shotnoise_analytics/grace_plot/.git/refs/remotes/
- shotnoise_analytics/grace_plot/.git/refs/remotes/origin/
- shotnoise_analytics/grace_plot/.git/refs/tags/
- shotnoise_analytics/grace_plot/pygrace/
- shotnoise_analytics/grace_plot/pygrace/build/
- shotnoise_analytics/grace_plot/pygrace/build/lib.linux-x86_64-2.7/
- shotnoise_analytics/grace_plot/pygrace/build/lib.linux-x86_64-2.7/pygrace/
- shotnoise_analytics/grace_plot/pygrace/examples/
- shotnoise_analytics/grace_plot/pygrace/tests/
- shotnoise_analytics/latex_param_values/
- shotnoise_analytics/latex_param_values/.git/
- shotnoise_analytics/latex_param_values/.git/branches/
- shotnoise_analytics/latex_param_values/.git/hooks/
- shotnoise_analytics/latex_param_values/.git/info/
- shotnoise_analytics/latex_param_values/.git/logs/
- shotnoise_analytics/latex_param_values/.git/logs/refs/
- shotnoise_analytics/latex_param_values/.git/logs/refs/heads/
- shotnoise_analytics/latex_param_values/.git/logs/refs/remotes/
- shotnoise_analytics/latex_param_values/.git/logs/refs/remotes/origin/
- shotnoise_analytics/latex_param_values/.git/objects/
- shotnoise_analytics/latex_param_values/.git/objects/2d/
- shotnoise_analytics/latex_param_values/.git/objects/4b/
- shotnoise_analytics/latex_param_values/.git/objects/cc/
- shotnoise_analytics/latex_param_values/.git/objects/d2/
- shotnoise_analytics/latex_param_values/.git/objects/e0/
- shotnoise_analytics/latex_param_values/.git/objects/e4/
- shotnoise_analytics/latex_param_values/.git/objects/info/
- shotnoise_analytics/latex_param_values/.git/objects/pack/
- shotnoise_analytics/latex_param_values/.git/refs/
- shotnoise_analytics/latex_param_values/.git/refs/heads/
- shotnoise_analytics/latex_param_values/.git/refs/remotes/
- shotnoise_analytics/latex_param_values/.git/refs/remotes/origin/
- shotnoise_analytics/latex_param_values/.git/refs/tags/
- shotnoise_analytics/param_scan/
- shotnoise_analytics/param_scan/.git/
- shotnoise_analytics/param_scan/.git/branches/
- shotnoise_analytics/param_scan/.git/hooks/
- shotnoise_analytics/param_scan/.git/info/
- shotnoise_analytics/param_scan/.git/logs/
- shotnoise_analytics/param_scan/.git/logs/refs/
- shotnoise_analytics/param_scan/.git/logs/refs/heads/
- shotnoise_analytics/param_scan/.git/logs/refs/remotes/
- shotnoise_analytics/param_scan/.git/logs/refs/remotes/origin/
- shotnoise_analytics/param_scan/.git/objects/
- shotnoise_analytics/param_scan/.git/objects/01/
- shotnoise_analytics/param_scan/.git/objects/02/
- shotnoise_analytics/param_scan/.git/objects/03/
- shotnoise_analytics/param_scan/.git/objects/04/
- shotnoise_analytics/param_scan/.git/objects/05/
- shotnoise_analytics/param_scan/.git/objects/07/
- shotnoise_analytics/param_scan/.git/objects/0a/
- shotnoise_analytics/param_scan/.git/objects/0d/
- shotnoise_analytics/param_scan/.git/objects/21/
- shotnoise_analytics/param_scan/.git/objects/23/
- shotnoise_analytics/param_scan/.git/objects/2d/
- shotnoise_analytics/param_scan/.git/objects/39/
- shotnoise_analytics/param_scan/.git/objects/3c/
- shotnoise_analytics/param_scan/.git/objects/3d/
- shotnoise_analytics/param_scan/.git/objects/3e/
- shotnoise_analytics/param_scan/.git/objects/43/
- shotnoise_analytics/param_scan/.git/objects/45/
- shotnoise_analytics/param_scan/.git/objects/4b/
- shotnoise_analytics/param_scan/.git/objects/53/
- shotnoise_analytics/param_scan/.git/objects/54/
- shotnoise_analytics/param_scan/.git/objects/55/
- shotnoise_analytics/param_scan/.git/objects/58/
- shotnoise_analytics/param_scan/.git/objects/5d/
- shotnoise_analytics/param_scan/.git/objects/62/
- shotnoise_analytics/param_scan/.git/objects/63/
- shotnoise_analytics/param_scan/.git/objects/66/
- shotnoise_analytics/param_scan/.git/objects/6f/
- shotnoise_analytics/param_scan/.git/objects/71/
- shotnoise_analytics/param_scan/.git/objects/72/
- shotnoise_analytics/param_scan/.git/objects/73/
- shotnoise_analytics/param_scan/.git/objects/75/
- shotnoise_analytics/param_scan/.git/objects/79/
- shotnoise_analytics/param_scan/.git/objects/7c/
- shotnoise_analytics/param_scan/.git/objects/7d/
- shotnoise_analytics/param_scan/.git/objects/80/
- shotnoise_analytics/param_scan/.git/objects/8b/
- shotnoise_analytics/param_scan/.git/objects/8c/
- shotnoise_analytics/param_scan/.git/objects/8f/
- shotnoise_analytics/param_scan/.git/objects/92/
- shotnoise_analytics/param_scan/.git/objects/99/
- shotnoise_analytics/param_scan/.git/objects/9a/
- shotnoise_analytics/param_scan/.git/objects/a0/
- shotnoise_analytics/param_scan/.git/objects/a5/
- shotnoise_analytics/param_scan/.git/objects/aa/
- shotnoise_analytics/param_scan/.git/objects/ae/
- shotnoise_analytics/param_scan/.git/objects/b0/
- shotnoise_analytics/param_scan/.git/objects/b1/
- shotnoise_analytics/param_scan/.git/objects/b2/
- shotnoise_analytics/param_scan/.git/objects/bc/
- shotnoise_analytics/param_scan/.git/objects/c1/
- shotnoise_analytics/param_scan/.git/objects/c4/
- shotnoise_analytics/param_scan/.git/objects/c8/
- shotnoise_analytics/param_scan/.git/objects/c9/
- shotnoise_analytics/param_scan/.git/objects/cf/
- shotnoise_analytics/param_scan/.git/objects/d1/
- shotnoise_analytics/param_scan/.git/objects/d2/
- shotnoise_analytics/param_scan/.git/objects/d8/
- shotnoise_analytics/param_scan/.git/objects/dc/
- shotnoise_analytics/param_scan/.git/objects/df/
- shotnoise_analytics/param_scan/.git/objects/e4/
- shotnoise_analytics/param_scan/.git/objects/e6/
- shotnoise_analytics/param_scan/.git/objects/e9/
- shotnoise_analytics/param_scan/.git/objects/f1/
- shotnoise_analytics/param_scan/.git/objects/f4/
- shotnoise_analytics/param_scan/.git/objects/f8/
- shotnoise_analytics/param_scan/.git/objects/info/
- shotnoise_analytics/param_scan/.git/objects/pack/
- shotnoise_analytics/param_scan/.git/refs/
- shotnoise_analytics/param_scan/.git/refs/heads/
- shotnoise_analytics/param_scan/.git/refs/remotes/
- shotnoise_analytics/param_scan/.git/refs/remotes/origin/
- shotnoise_analytics/param_scan/.git/refs/tags/
- shotnoise_analytics/plots/
- shotnoise_analytics/plots/__init__.py
- shotnoise_analytics/plots/cv_over_a/
- shotnoise_analytics/plots/cv_over_a/__init__.py
- shotnoise_analytics/plots/cv_over_a/qif/
- shotnoise_analytics/plots/cv_over_a/qif/__init__.py
- shotnoise_analytics/plots/cv_over_a/qif/diffapp/
- shotnoise_analytics/plots/cv_over_a/qif/sim/
- shotnoise_analytics/plots/cv_over_a/qif/sim/dummy.py
- shotnoise_analytics/plots/cv_over_a/qif/theo/
- shotnoise_analytics/plots/power_spectrum/
- shotnoise_analytics/plots/power_spectrum/__init__.py
- shotnoise_analytics/plots/probability_density/
- shotnoise_analytics/plots/probability_density/__init__.py
- shotnoise_analytics/plots/probability_density/eif/
- shotnoise_analytics/plots/probability_density/eif/__init__.py
- shotnoise_analytics/plots/probability_density/lif/
- shotnoise_analytics/plots/probability_density/lif/__init__.py
- shotnoise_analytics/plots/r0_over_rin_e/
- shotnoise_analytics/plots/r0_over_rin_e/__init__.py
- shotnoise_analytics/plots/r0_over_rin_e/eif/
- shotnoise_analytics/plots/r0_over_rin_e/eif/__init__.py
- shotnoise_analytics/plots/r0_over_rin_e/lif/
- shotnoise_analytics/plots/r0_over_rin_e/lif/__init__.py
- shotnoise_analytics/plots/r0_over_rin_e/lif/lowrin/
- shotnoise_analytics/plots/r0_over_rin_e/lif/lowrin/__init__.py
- shotnoise_analytics/plots/suscep/
- shotnoise_analytics/plots/suscep/__init__.py
- shotnoise_analytics/plots/suscep/current_modulation/
- shotnoise_analytics/plots/suscep/current_modulation/__init__.py
- shotnoise_analytics/plots/suscep/current_modulation/cosstim/
- shotnoise_analytics/plots/suscep/current_modulation/cosstim/__init__.py
- shotnoise_analytics/simulation/
- shotnoise_analytics/simulation/.git/
- shotnoise_analytics/simulation/.git/branches/
- shotnoise_analytics/simulation/.git/hooks/
- shotnoise_analytics/simulation/.git/info/
- shotnoise_analytics/simulation/.git/logs/
- shotnoise_analytics/simulation/.git/logs/refs/
- shotnoise_analytics/simulation/.git/logs/refs/heads/
- shotnoise_analytics/simulation/.git/logs/refs/remotes/
- shotnoise_analytics/simulation/.git/logs/refs/remotes/origin/
- shotnoise_analytics/simulation/.git/objects/
- shotnoise_analytics/simulation/.git/objects/02/
- shotnoise_analytics/simulation/.git/objects/04/
- shotnoise_analytics/simulation/.git/objects/07/
- shotnoise_analytics/simulation/.git/objects/08/
- shotnoise_analytics/simulation/.git/objects/09/
- shotnoise_analytics/simulation/.git/objects/10/
- shotnoise_analytics/simulation/.git/objects/11/
- shotnoise_analytics/simulation/.git/objects/12/
- shotnoise_analytics/simulation/.git/objects/15/
- shotnoise_analytics/simulation/.git/objects/16/
- shotnoise_analytics/simulation/.git/objects/19/
- shotnoise_analytics/simulation/.git/objects/1b/
- shotnoise_analytics/simulation/.git/objects/1e/
- shotnoise_analytics/simulation/.git/objects/1f/
- shotnoise_analytics/simulation/.git/objects/23/
- shotnoise_analytics/simulation/.git/objects/24/
- shotnoise_analytics/simulation/.git/objects/27/
- shotnoise_analytics/simulation/.git/objects/28/
- shotnoise_analytics/simulation/.git/objects/2a/
- shotnoise_analytics/simulation/.git/objects/2b/
- shotnoise_analytics/simulation/.git/objects/2c/
- shotnoise_analytics/simulation/.git/objects/2f/
- shotnoise_analytics/simulation/.git/objects/32/
- shotnoise_analytics/simulation/.git/objects/34/
- shotnoise_analytics/simulation/.git/objects/35/
- shotnoise_analytics/simulation/.git/objects/36/
- shotnoise_analytics/simulation/.git/objects/38/
- shotnoise_analytics/simulation/.git/objects/40/
- shotnoise_analytics/simulation/.git/objects/41/
- shotnoise_analytics/simulation/.git/objects/42/
- shotnoise_analytics/simulation/.git/objects/43/
- shotnoise_analytics/simulation/.git/objects/44/
- shotnoise_analytics/simulation/.git/objects/47/
- shotnoise_analytics/simulation/.git/objects/49/
- shotnoise_analytics/simulation/.git/objects/4a/
- shotnoise_analytics/simulation/.git/objects/4c/
- shotnoise_analytics/simulation/.git/objects/4f/
- shotnoise_analytics/simulation/.git/objects/51/
- shotnoise_analytics/simulation/.git/objects/52/
- shotnoise_analytics/simulation/.git/objects/53/
- shotnoise_analytics/simulation/.git/objects/54/
- shotnoise_analytics/simulation/.git/objects/55/
- shotnoise_analytics/simulation/.git/objects/58/
- shotnoise_analytics/simulation/.git/objects/5b/
- shotnoise_analytics/simulation/.git/objects/5e/
- shotnoise_analytics/simulation/.git/objects/5f/
- shotnoise_analytics/simulation/.git/objects/60/
- shotnoise_analytics/simulation/.git/objects/63/
- shotnoise_analytics/simulation/.git/objects/68/
- shotnoise_analytics/simulation/.git/objects/6a/
- shotnoise_analytics/simulation/.git/objects/6d/
- shotnoise_analytics/simulation/.git/objects/6e/
- shotnoise_analytics/simulation/.git/objects/6f/
- shotnoise_analytics/simulation/.git/objects/70/
- shotnoise_analytics/simulation/.git/objects/71/
- shotnoise_analytics/simulation/.git/objects/72/
- shotnoise_analytics/simulation/.git/objects/73/
- shotnoise_analytics/simulation/.git/objects/74/
- shotnoise_analytics/simulation/.git/objects/75/
- shotnoise_analytics/simulation/.git/objects/76/
- shotnoise_analytics/simulation/.git/objects/79/
- shotnoise_analytics/simulation/.git/objects/7a/
- shotnoise_analytics/simulation/.git/objects/7d/
- shotnoise_analytics/simulation/.git/objects/7e/
- shotnoise_analytics/simulation/.git/objects/83/
- shotnoise_analytics/simulation/.git/objects/84/
- shotnoise_analytics/simulation/.git/objects/85/
- shotnoise_analytics/simulation/.git/objects/89/
- shotnoise_analytics/simulation/.git/objects/8b/
- shotnoise_analytics/simulation/.git/objects/8c/
- shotnoise_analytics/simulation/.git/objects/8d/
- shotnoise_analytics/simulation/.git/objects/8e/
- shotnoise_analytics/simulation/.git/objects/91/
- shotnoise_analytics/simulation/.git/objects/92/
- shotnoise_analytics/simulation/.git/objects/94/
- shotnoise_analytics/simulation/.git/objects/96/
- shotnoise_analytics/simulation/.git/objects/9f/
- shotnoise_analytics/simulation/.git/objects/a8/
- shotnoise_analytics/simulation/.git/objects/aa/
- shotnoise_analytics/simulation/.git/objects/ab/
- shotnoise_analytics/simulation/.git/objects/ac/
- shotnoise_analytics/simulation/.git/objects/ad/
- shotnoise_analytics/simulation/.git/objects/ae/
- shotnoise_analytics/simulation/.git/objects/b2/
- shotnoise_analytics/simulation/.git/objects/b4/
- shotnoise_analytics/simulation/.git/objects/b5/
- shotnoise_analytics/simulation/.git/objects/b6/
- shotnoise_analytics/simulation/.git/objects/b9/
- shotnoise_analytics/simulation/.git/objects/bb/
- shotnoise_analytics/simulation/.git/objects/be/
- shotnoise_analytics/simulation/.git/objects/c0/
- shotnoise_analytics/simulation/.git/objects/c3/
- shotnoise_analytics/simulation/.git/objects/c5/
- shotnoise_analytics/simulation/.git/objects/c7/
- shotnoise_analytics/simulation/.git/objects/cb/
- shotnoise_analytics/simulation/.git/objects/ce/
- shotnoise_analytics/simulation/.git/objects/d0/
- shotnoise_analytics/simulation/.git/objects/d1/
- shotnoise_analytics/simulation/.git/objects/d2/
- shotnoise_analytics/simulation/.git/objects/d3/
- shotnoise_analytics/simulation/.git/objects/d4/
- shotnoise_analytics/simulation/.git/objects/d7/
- shotnoise_analytics/simulation/.git/objects/d8/
- shotnoise_analytics/simulation/.git/objects/da/
- shotnoise_analytics/simulation/.git/objects/db/
- shotnoise_analytics/simulation/.git/objects/dc/
- shotnoise_analytics/simulation/.git/objects/dd/
- shotnoise_analytics/simulation/.git/objects/de/
- shotnoise_analytics/simulation/.git/objects/e1/
- shotnoise_analytics/simulation/.git/objects/e3/
- shotnoise_analytics/simulation/.git/objects/e8/
- shotnoise_analytics/simulation/.git/objects/e9/
- shotnoise_analytics/simulation/.git/objects/ea/
- shotnoise_analytics/simulation/.git/objects/ec/
- shotnoise_analytics/simulation/.git/objects/ed/
- shotnoise_analytics/simulation/.git/objects/ee/
- shotnoise_analytics/simulation/.git/objects/f0/
- shotnoise_analytics/simulation/.git/objects/f1/
- shotnoise_analytics/simulation/.git/objects/f2/
- shotnoise_analytics/simulation/.git/objects/f4/
- shotnoise_analytics/simulation/.git/objects/f5/
- shotnoise_analytics/simulation/.git/objects/f6/
- shotnoise_analytics/simulation/.git/objects/f7/
- shotnoise_analytics/simulation/.git/objects/f8/
- shotnoise_analytics/simulation/.git/objects/f9/
- shotnoise_analytics/simulation/.git/objects/fa/
- shotnoise_analytics/simulation/.git/objects/fb/
- shotnoise_analytics/simulation/.git/objects/fd/
- shotnoise_analytics/simulation/.git/objects/info/
- shotnoise_analytics/simulation/.git/objects/pack/
- shotnoise_analytics/simulation/.git/refs/
- shotnoise_analytics/simulation/.git/refs/heads/
- shotnoise_analytics/simulation/.git/refs/remotes/
- shotnoise_analytics/simulation/.git/refs/remotes/origin/
- shotnoise_analytics/simulation/.git/refs/tags/
- shotnoise_analytics/simulation/build/
- shotnoise_analytics/simulation/build/release/
- shotnoise_analytics/simulation/neurophys/
Mirror Neuron (Antunes et al 2017)
- Final/
- Final/mechanisms/
- Final/synapses/
- Final/morphology/
Hierarchical Gaussian Filter (HGF) model of conditioned hallucinations task (Powers et al 2017)
- HGF/
- HGF/analysis/
- HGF/analysis/hgfToolBox_condhalluc1.4/
- HGF/data/
Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)
- codes/
- codes/NumberedData/
- codes/NumberedData/43/
- codes/NumberedData/32/
- codes/NumberedData/81/
- codes/NumberedData/83/
- codes/NumberedData/49/
- codes/NumberedData/82/
- codes/NumberedData/87/
- codes/NumberedData/29/
- codes/NumberedData/86/
- codes/NumberedData/27/
- codes/NumberedData/31/
- codes/NumberedData/101/
- codes/NumberedData/48/
- codes/NumberedData/84/
- codes/NumberedData/45/
- codes/NumberedData/34/
- codes/NumberedData/47/
- codes/NumberedData/30/
- codes/NumberedData/46/
- codes/NumberedData/37/
- codes/NumberedData/MF/
- codes/NumberedData/MF/96/
- codes/NumberedData/MF/91/
- codes/NumberedData/MF/94/
- codes/NumberedData/MF/93/
- codes/NumberedData/MF/35/
- codes/NumberedData/MF/38/
- codes/NumberedData/MF/41/
- codes/NumberedData/MF/36/
- codes/NumberedData/MF/37/
- codes/NumberedData/MF/42/
- codes/NumberedData/MF/92/
- codes/NumberedData/MF/95/
- codes/NumberedData/MF/old38/
- codes/NumberedData/42/
- codes/NumberedData/51/
- codes/NumberedData/28/
- codes/NumberedData/52/
- codes/NumberedData/90/
- codes/NumberedData/85/
- codes/NumberedData/44/
- codes/NumberedData/89/
- codes/pandora-matlab-1.4compat2/
- codes/pandora-matlab-1.4compat2/test_suite/
- codes/pandora-matlab-1.4compat2/test_suite/tests_db/
- codes/pandora-matlab-1.4compat2/examples/
- codes/pandora-matlab-1.4compat2/functions/
- codes/pandora-matlab-1.4compat2/classes/
- codes/pandora-matlab-1.4compat2/classes/@results_profile/
- codes/pandora-matlab-1.4compat2/classes/@script_array/
- codes/pandora-matlab-1.4compat2/classes/@plot_abstract/
- codes/pandora-matlab-1.4compat2/classes/@cip_trace_allspikes_profile/
- codes/pandora-matlab-1.4compat2/classes/@physiol_cip_traceset_fileset/
- codes/pandora-matlab-1.4compat2/classes/@physiol_cip_traceset_fileset/private/
- codes/pandora-matlab-1.4compat2/classes/@period/
- codes/pandora-matlab-1.4compat2/classes/@plot_errorbar/
- codes/pandora-matlab-1.4compat2/classes/@chans_db/
- codes/pandora-matlab-1.4compat2/classes/@script_array_loaddb/
- codes/pandora-matlab-1.4compat2/classes/@params_tests_db/
- codes/pandora-matlab-1.4compat2/classes/@plot_bars/
- codes/pandora-matlab-1.4compat2/classes/@physiol_cip_traceset/
- codes/pandora-matlab-1.4compat2/classes/@spikes/
- codes/pandora-matlab-1.4compat2/classes/@script_array_for_cluster/
- codes/pandora-matlab-1.4compat2/classes/@model_data_vcs/
- codes/pandora-matlab-1.4compat2/classes/@physiol_bundle/
- codes/pandora-matlab-1.4compat2/classes/@physiol_bundle/private/
- codes/pandora-matlab-1.4compat2/classes/@stats_db/
- codes/pandora-matlab-1.4compat2/classes/@spike_shape_profile/
- codes/pandora-matlab-1.4compat2/classes/@tests_3D_db/
- codes/pandora-matlab-1.4compat2/classes/@cip_traceset/
- codes/pandora-matlab-1.4compat2/classes/@params_results_profile/
- codes/pandora-matlab-1.4compat2/classes/@profile/
- codes/pandora-matlab-1.4compat2/classes/@plot_superpose/
- codes/pandora-matlab-1.4compat2/classes/@plot_stack/
- codes/pandora-matlab-1.4compat2/classes/@tests_db/
- codes/pandora-matlab-1.4compat2/classes/@tests_db/private/
- codes/pandora-matlab-1.4compat2/classes/@ranked_db/
- codes/pandora-matlab-1.4compat2/classes/@plot_simple/
- codes/pandora-matlab-1.4compat2/classes/@plot_image/
- codes/pandora-matlab-1.4compat2/classes/@doc_generate/
- codes/pandora-matlab-1.4compat2/classes/@mesh_amira/
- codes/pandora-matlab-1.4compat2/classes/@mesh_amira/private/
- codes/pandora-matlab-1.4compat2/classes/@doc_plot/
- codes/pandora-matlab-1.4compat2/classes/@params_tests_profile/
- codes/pandora-matlab-1.4compat2/classes/@corrcoefs_db/
- codes/pandora-matlab-1.4compat2/classes/@voltage_clamp/
- codes/pandora-matlab-1.4compat2/classes/@voltage_clamp/private/
- codes/pandora-matlab-1.4compat2/classes/@trace_profile/
- codes/pandora-matlab-1.4compat2/classes/@dataset_db_bundle/
- codes/pandora-matlab-1.4compat2/classes/@cluster_db/
- codes/pandora-matlab-1.4compat2/classes/@params_tests_dataset/
- codes/pandora-matlab-1.4compat2/classes/@plot_errorbars/
- codes/pandora-matlab-1.4compat2/classes/@doc_multi/
- codes/pandora-matlab-1.4compat2/classes/@model_ranked_to_physiol_bundle/
- codes/pandora-matlab-1.4compat2/classes/@model_ct_bundle/
- codes/pandora-matlab-1.4compat2/classes/@script_factory/
- codes/pandora-matlab-1.4compat2/classes/@spike_shape/
- codes/pandora-matlab-1.4compat2/classes/@sql_portal/
- codes/pandora-matlab-1.4compat2/classes/@plot_inset/
- codes/pandora-matlab-1.4compat2/classes/@histogram_db/
- codes/pandora-matlab-1.4compat2/classes/@histogram_db/private/
- codes/pandora-matlab-1.4compat2/classes/@spikes_db/
- codes/pandora-matlab-1.4compat2/classes/@trace/
- codes/pandora-matlab-1.4compat2/classes/@trace/private/
- codes/pandora-matlab-1.4compat2/classes/@cip_traceset_dataset/
- codes/pandora-matlab-1.4compat2/classes/@params_cip_trace_fileset/
- codes/pandora-matlab-1.4compat2/classes/@cip_trace/
- codes/pandora-matlab-1.4compat2/classes/@current_clamp/
- codes/pandora-matlab-1.4compat2/classes/@cip_traces_dataset/
- codes/pandora-matlab-1.4compat2/classes/@cip_trace_profile/
- codes/pandora-matlab-1.4compat2/classes/@params_tests_fileset/
- codes/pandora-matlab-1.4compat2/.git/
- codes/pandora-matlab-1.4compat2/.git/hooks/
- codes/pandora-matlab-1.4compat2/.git/objects/
- codes/pandora-matlab-1.4compat2/.git/objects/pack/
- codes/pandora-matlab-1.4compat2/.git/objects/info/
- codes/pandora-matlab-1.4compat2/.git/info/
- codes/pandora-matlab-1.4compat2/.git/refs/
- codes/pandora-matlab-1.4compat2/.git/refs/heads/
- codes/pandora-matlab-1.4compat2/.git/refs/tags/
- codes/pandora-matlab-1.4compat2/doc/
- codes/pandora-matlab-1.4compat2/doc/tutorials/
- codes/pandora-matlab-1.4compat2/doc/tutorials/birdsong/
- codes/pandora-matlab-1.4compat2/doc/tutorials/incf/
- codes/pandora-matlab-1.4compat2/doc/website/
- codes/pandora-matlab-1.4compat2/doc/website/neuroinf-paper-examples/
- codes/pandora-matlab-1.4compat2/doc/website/html/
- codes/pandora-matlab-1.4compat2/doc/website/html/img6.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img2.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img20.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img4.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img26.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img27.png
- codes/pandora-matlab-1.4compat2/doc/website/html/images.out
- codes/pandora-matlab-1.4compat2/doc/website/html/img28.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img5.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img25.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img7.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img3.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img24.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img22.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img21.png
- codes/pandora-matlab-1.4compat2/doc/website/html/images.frx
- codes/pandora-matlab-1.4compat2/doc/website/html/img23.png
- codes/pandora-matlab-1.4compat2/doc/website/html/img1.png
- codes/AST-DCN-ProjectCode/
- codes/AST-DCN-ProjectCode/GenesisModel/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/GT_cluster_testing/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/GT_cluster_testing/brute_scripts/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/GT_cluster_testing/brute_scripts/test.txt
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/cluster-samira/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/cluster-samira/param-search-neuro-master/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/cluster-samira/param-search-neuro-master/maintenance/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/cluster-samira/param-search-neuro-master/pbs_scripts/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/cluster-samira/param-search-neuro-master/param_file/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/cluster-samira/param-search-neuro-master/sge_scripts/
- codes/AST-DCN-ProjectCode/GenesisModel/Cluster Scripts/cluster-samira/param-search-neuro-master/obsolete/
- codes/AST-DCN-ProjectCode/GenesisModel/DCN-Runs/
- codes/AST-DCN-ProjectCode/GenesisModel/DCN-Common/
- codes/AST-DCN-ProjectCode/GenesisModel/GENESIS Source/
- codes/AST-DCN-ProjectCode/GenesisModel/DCN-Steuber/
- codes/AST-DCN-ProjectCode/ASTgeneration/
- codes/AST-DCN-ProjectCode/ModelData/
- codes/AST-DCN-ProjectCode/ModelData/ASTcell30withFRfromCell43/
- codes/AST-DCN-ProjectCode/ModelData/ASTcell30withFRfromCell43/Shift0_BehMod1_BehModStrength1/
- codes/chronux/
Different roles for inhibition in the rhythm-generating respiratory network (Harris et al 2017)
- HarrisEtAl2017/
A detailed Purkinje cell model (Masoli et al 2015)
- purkinjecell_2015/
- purkinjecell_2015/protocols/
- purkinjecell_2015/mod_files/
Respiratory control model with brainstem CPG and sensory feedback (Diekman, Thomas, and Wilson 2017)
- DiekmanThomasWilson2017/
- DiekmanThomasWilson2017/data_figure10/
- DiekmanThomasWilson2017/data_figure14/
- DiekmanThomasWilson2017/data_figure4/
The Virtual Mouse Brain (TVMB) (Melozzi et al. 2017)
- weblink/
A single kinetic model for all human voltage-gated sodium channels (Balbi et al, 2017)
- SinKin_ModelDB/
- __MACOSX/
- __MACOSX/SinKin_ModelDB/
Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)
- STDP/
- STDP/data/
- STDP/src/
Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018)
- gap-junction-plasticity-modelDB/
- gap-junction-plasticity-modelDB/fns/
- gap-junction-plasticity-modelDB/params/
Cortical Layer 5b pyr. cell with [Na+]i mechanisms, from Hay et al 2011 (Zylbertal et al 2017)
- L5PC_converted/
- L5PC_converted/morphologies/
- L5PC_converted/mod/
- L5PC_converted/models/
Dendritic properties control energy efficiency of APs in cortical pyramidal cells (Yi et al 2017)
- Yi et al 2017/
- Yi et al 2017/model I/
- Yi et al 2017/model II/
- Yi et al 2017/model III/
Feature integration drives probabilistic behavior in Fly escape response (von Reyn et al 2017)
- GF_loom_model/
Hyperbolic model (Daneshzand et al 2017)
- DaneshzandEtAl2017/
Dendrites enable a robust mechanism for neuronal stimulus selectivity (Caze et al 2017)
- weblink/
Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017)
- CanakciEtAl2017/
- CanakciEtAl2017/data/
- CanakciEtAl2017/mod/
- CanakciEtAl2017/parameters/
- CanakciEtAl2017/templates/
The cannula artifact (Chandler & Hodgkin 1965)
- ChandlerHodgkin1965/
MATLAB for brain and cognitive scientists (Cohen 2017)
- weblink/
Conductance-based model of Layer-4 in the barrel cortex (Argaman et Golomb 2017)
- layer_4_bal_sim/
- layer_4_bal_sim/generate_figures/
- layer_4_bal_sim/generate_figures/fig1/
- layer_4_bal_sim/generate_figures/fig2/
- layer_4_bal_sim/generate_figures/fig2/vs.out.b2b
- layer_4_bal_sim/generate_figures/fig3/
- layer_4_bal_sim/generate_figures/fig4/
- layer_4_bal_sim/generate_figures/fig5/
- layer_4_bal_sim/generate_figures/fig6/
- layer_4_bal_sim/generate_figures/fig7/
- layer_4_bal_sim/generate_figures/fig8/
- layer_4_bal_sim/integrate_and_fire/
- layer_4_bal_sim/integrate_and_fire/Neuron1/
- layer_4_bal_sim/integrate_and_fire/NeuronIO/
- layer_4_bal_sim/simulation_program/
Orientation preference in L23 V1 pyramidal neurons (Park et al 2019)
- orientation_preference/mod.files/
- orientation_preference/morphologies/
CN bushy, stellate neurons (Rothman, Manis 2003) (Brian 2)
- Rothman_Manis_2003Brian2/
Development of modular activity of grid cells (Urdapilleta et al 2017)
- UrdapilletaEtAl2017/
- UrdapilletaEtAl2017/Simulation/
Specific inhibition of dendritic plateau potential in striatal projection neurons (Du et al 2017)
- MSN/
- MSN/MScell/
- MSN/MScell/channels/
- MSN/MScell/tables/
Shaping NMDA spikes by timed synaptic inhibition on L5PC (Doron et al. 2017)
- reproduction/
Model for concentration invariant odor coding based on primacy hypothesis (Wilson et al 2017)
- primacy/
Vertical system (VS) fly cells with biophysics (Dan et al 2018)
- vs_with_biophys/
GC model (Beining et al 2017)
- BeiningEtAl2017nrn/
- BeiningEtAl2017nrn/lib_genroutines/
- BeiningEtAl2017nrn/lib_mech/
- BeiningEtAl2017nrn/modified/
- BeiningEtAl2017nrn/morphos/
The neuro-electronic junction (planar and engulfed electrodes) (Massobrio et al 2018)
- MassobrioEtAl2018/
Modelling the effects of short and random proto-neural elongations (de Wiljes et al 2017)
- modelDB/
Mature and young adult-born dentate granule cell models (T2N interface) (Beining et al. 2017)
- weblink/
Model of the cerebellar granular network (Sudhakar et al 2017)
- cerebellar_granular_network/
- cerebellar_granular_network/mechanisms/
- cerebellar_granular_network/populations/
- cerebellar_granular_network/brep/
- cerebellar_granular_network/mossy_fiber_utils/
- cerebellar_granular_network/params/
- cerebellar_granular_network/templates/
- cerebellar_granular_network/mechanisms/Presynaptic_spike_generator/
- cerebellar_granular_network/mechanisms/Golgi_CL/
- cerebellar_granular_network/mechanisms/Event_stream/
- cerebellar_granular_network/mechanisms/gap/
- cerebellar_granular_network/mechanisms/Synapses/
- cerebellar_granular_network/mechanisms/Granule_CL/
- cerebellar_granular_network/params/set3005/
Behavioral time scale synaptic plasticity underlies CA1 place fields (Bittner et al. 2017)
- BittnerEtAl2017/
Dipolar extracellular potentials generated by axonal projections (McColgan et al 2017)
- McColganEtAl2017/
Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017)
- CostaEtAl2017/
2D model of olfactory bulb gamma oscillations (Li and Cleland 2017)
- OBGAMMA/
- OBGAMMA/data0/
Electrical activity of the suprachiasmatic nuclei (Stinchcombe et al. 2017)
- StinchcombeEtAl2017/
Basal ganglia motor function and the inverse kinematics calculation (Salimi-Badr et al 2017)
- BG_IK/
Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018)
- TCR/
- TCR/current_clamp/
- TCR/influence_ih_iT/
- TCR/high_conductance_state/
- TCR/current_clamp/cells/
- TCR/influence_ih_iT/cells/
- TCR/high_conductance_state/cells/
Smoothing of, and parameter estimation from, noisy biophysical recordings (Huys & Paninski 2009)
- publiccode/
Modeling dendritic spikes and plasticity (Bono and Clopath 2017)
- Bono_Clopath_2017/
- Bono_Clopath_2017/Model GPU/
- Bono_Clopath_2017/Fig 4/
- Bono_Clopath_2017/Fig 3/
- Bono_Clopath_2017/Fig 2/
- Bono_Clopath_2017/Fig 5/
- Bono_Clopath_2017/Model CPU/
- Bono_Clopath_2017/0. Model/
- Bono_Clopath_2017/Fig 6/
- Bono_Clopath_2017/Fig 1/
A mathematical model of a neurovascular unit (Dormanns et al 2015, 2016) (Farrs & David 2011)
- NVU12Model/
- NVU12Model/src/
Sequential neuromodulation of Hebbian plasticity in reward-based navigation (Brzosko et al 2017)
- BrzoskoZannoneEtAl2017/
Hebbian learning in a random network for PFC modeling (Lindsay, et al. 2017)
- LindsayEtAl2017/
Spinal circuits controlling limb coordination and gaits in quadrupeds (Danner et al 2017)
- Danner-et-al-2017/
- Danner-et-al-2017/models/
- Danner-et-al-2017/results/
- Danner-et-al-2017/src/
Calculating the consequences of left-shifted Nav channel activity in sick cells (Joos et al 2018)
- CoupledLeftShift_ModelDB/
A spiking neural network model of the Lateral Geniculate Nucleus (Sen-Bhattacharya et al 2017)
- Sen-BhattacharyaEtAl2017/
Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
- KnoxEtAl2017/
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
- ZerlautEtAl2017/
- ZerlautEtAl2017/.ipynb_checkpoints/
- ZerlautEtAl2017/data/
- ZerlautEtAl2017/data_analysis/
- ZerlautEtAl2017/data_analysis/__init__.py
- ZerlautEtAl2017/data_analysis/__pycache__/
- ZerlautEtAl2017/data_analysis/freq_analysis/
- ZerlautEtAl2017/data_analysis/IO/
- ZerlautEtAl2017/data_analysis/IO/__init__.py
- ZerlautEtAl2017/data_analysis/IO/__pycache__/
- ZerlautEtAl2017/data_analysis/manipulation/
- ZerlautEtAl2017/data_analysis/manipulation/__init__.py
- ZerlautEtAl2017/data_analysis/optimization/
- ZerlautEtAl2017/data_analysis/optimization/__init__.py
- ZerlautEtAl2017/data_analysis/Opto_during_Up_and_Down/
- ZerlautEtAl2017/data_analysis/Opto_during_Up_and_Down/__init__.py
- ZerlautEtAl2017/data_analysis/processing/
- ZerlautEtAl2017/data_analysis/processing/__init__.py
- ZerlautEtAl2017/data_analysis/processing/__pycache__/
- ZerlautEtAl2017/data_analysis/Up_and_Down_charact/
- ZerlautEtAl2017/data_analysis/Up_and_Down_charact/__init__.py
- ZerlautEtAl2017/data_analysis/workflow/
- ZerlautEtAl2017/data_analysis/workflow/__init__.py
- ZerlautEtAl2017/graphs/
- ZerlautEtAl2017/graphs/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/analysis/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/analysis/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/analysis/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/mean_field/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/mean_field/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/mean_field/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/network_simulations/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/network_simulations/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/network_simulations/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/network_simulations/data/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/network_simulations/data/__for_folder_creation
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/ring_model/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/ring_model/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/ring_model/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/ring_model/bash_parameter_scan.sh
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/single_cell_models/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/single_cell_models/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/single_cell_models/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/synapses_and_connectivity/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/synapses_and_connectivity/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/synapses_and_connectivity/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/transfer_functions/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/transfer_functions/__init__.py
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/transfer_functions/__pycache__/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/transfer_functions/data/
- ZerlautEtAl2017/modeling_mesoscopic_dynamics/transfer_functions/data/__for_folder_creation
- ZerlautEtAl2017/Modeling_Mesoscopic_Dynamics_JCNS_2017_files/
Paradoxical effect of fAHP amplitude on gain in dentate gyrus granule cells (Jaffe & Brenner 2018)
- Fig2/
- Fig2/mods/
Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017)
- Cayco-GajicEtAl2017/
- Cayco-GajicEtAl2017/analytical_model/
- Cayco-GajicEtAl2017/biophysical_model/
- Cayco-GajicEtAl2017/grc_lemsDefinitions/
- Cayco-GajicEtAl2017/input_statistics/
- Cayco-GajicEtAl2017/network_structures/
Perfect Integrate and fire with noisy adaptation or fractional noise (Richard et al 2018)
- Codes-modeldb/
- __MACOSX/
- __MACOSX/Codes-modeldb/
Neuromorphic muscle spindle model (Vannucci et al 2017)
- lore_ucci-musclespindle-fa520c02bc8e/
- lore_ucci-musclespindle-fa520c02bc8e/examples/
- lore_ucci-musclespindle-fa520c02bc8e/nest/
- lore_ucci-musclespindle-fa520c02bc8e/nest/sli/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/c_models/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/c_models/src/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/c_models/src/neuron/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/c_models/src/neuron/builds/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/c_models/src/neuron/builds/muscle_spindle/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/c_models/src/neuron/models/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/c_models/src/neuron/synapse_types/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/examples/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/model_binaries/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/model_binaries/__init__.py
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/__init__.py
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/builds/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/builds/__init__.py
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/neuron_models/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/neuron_models/__init__.py
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/synapse_types/
- lore_ucci-musclespindle-fa520c02bc8e/spinnaker/python_models/neuron/synapse_types/__init__.py
Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018)
- Van_Pottelbergh_2018/
Role of the AIS in the control of spontaneous frequency of dopaminergic neurons (Meza et al 2017)
- DAfreq_AIS/
A model for recurrent spreading depolarizations (Conte et al. 2017)
- terman-ModelDB/
The origin of different spike and wave-like events (Hall et al 2017)
- HallEtAl2017/
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
- HallEtAl2015/
A model of slow motor unit (Kim, 2017)
- Kim2017/
- Kim2017/images/
- Kim2017/fig6/
- Kim2017/fig5/
- Kim2017/fig3/
- Kim2017/fig4/
The role of glutamate in neuronal ion homeostasis: spreading depolarization (Hubel et al 2017)
- HubelEtAl2017/
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
- FountasShanahan2017/
- FountasShanahan2017/bg_model/
Electrotonic transform and EPSCs for WT and Q175+/- spiny projection neurons (Goodliffe et al 2018)
- GoodliffeEtAl2018/
- GoodliffeEtAl2018/Elec/
- GoodliffeEtAl2018/Elec/tau_tables/
- GoodliffeEtAl2018/Syn/
- GoodliffeEtAl2018/Syn/tau_tables/
2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex (Deitcher et al 2017)
- DeitcherEtAl2017/
- DeitcherEtAl2017/images/
- DeitcherEtAl2017/Morphs_and_trees/
Differential interactions between Notch and ID factors control neurogenesis (Boareto et al 2017)
- BoaretoEtAl2017/
PyRhO: A multiscale optogenetics simulation platform (Evans et al 2016)
- EvansEtAl2016/
NeuroManager: a workflow analysis based simulation management engine (Stockton & Santamaria 2015)
- StocktonSantamaria2015/
Effects of Guanfacine and Phenylephrine on a model of working memory (Duggins et al 2017)
- DugginsEtAl2017/
Active dendritic integration in robust and precise grid cell firing (Schmidt-Hieber et al 2017)
- Schmidt-HieberEtAl2017/
Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy (Ruijter et al 2017)
- RuijterEtAl2017/
A systems model of Parkinson’s disease using biochemical systems theory (Sasidharakurup et al. 2017)
- Sasidharakurup_PD_BST_code/
SCZ-associated variant effects on L5 pyr cell NN activity and delta osc. (Maki-Marttunen et al 2018)
- scznet/
- scznet/approxhaynet/
- scznet/approxhaynet/models/
- scznet/haymod/
- scznet/haymod/models/
- scznet/haymod/morphologies/
Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017)
- hstdp/
- hstdp/hstdp-master/
Stochastic layer V pyramidal neuron: interpulse interval coding and noise (Singh & Levy 2017)
- stochastic_layer5_pyramidal/
- stochastic_layer5_pyramidal/.idea/
- stochastic_layer5_pyramidal/data/
- stochastic_layer5_pyramidal/mechanism/
- stochastic_layer5_pyramidal/morphology/
Fast Spiking Basket cells (Tzilivaki et al 2019)
- TzilivakiEtal_FSBCs_model/
- TzilivakiEtal_FSBCs_model/ANN/
- TzilivakiEtal_FSBCs_model/ANN/CSVDATA/
- TzilivakiEtal_FSBCs_model/ANN/data/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/mechanism/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/mechanism/x86_64/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/mechanism/x86_64/.libs/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/bash_templates/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/figure4/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/experiment/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/experiment/model_reconstructions/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/experiment/model_reconstructions/PFC/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/experiment/model_reconstructions/Hippocampus/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/figure3/
- TzilivakiEtal_FSBCs_model/Multicompartmental_Biophysical_models/figure2/
- TzilivakiEtal_FSBCs_model/network_model/
- TzilivakiEtal_FSBCs_model/network_model/data/
- TzilivakiEtal_FSBCs_model/network_model/src/
- TzilivakiEtal_FSBCs_model/network_model/figs/
A model of neurovascular coupling and the BOLD response (Mathias et al 2017, Kenny et al 2018)
- NVU21Model/
- NVU21Model/src/
Striatal D1R medium spiny neuron, including a subcellular DA cascade (Lindroos et al 2018)
- Beskow/
- Beskow/Exp_data/
- Beskow/Additional_files/
- Beskow/Figures/
- Beskow/Exp_data/bAP/
- Beskow/Exp_data/FI/
State-dependent rhythmogenesis in a half-center locomotor CPG (Ausborn et al 2017)
- AusbornEtAl2017/
Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018)
- HoshinoEtAl2018/
Single excitatory axons form clustered synapses onto CA1 pyramidal cell dendrites (Bloss et al 2018)
- BlossEtAl2018/
Model of the Xenopus tadpole swimming spinal network (Roberts et al. 2014)
- tadpole-spinal-cord-models-master/
- tadpole-spinal-cord-models-master/probabilistic model/
- tadpole-spinal-cord-models-master/functional model/
- tadpole-spinal-cord-models-master/anatomical model/
- tadpole-spinal-cord-models-master/probabilistic model/anatomical adjacency matrixes/
- tadpole-spinal-cord-models-master/functional model/figures/
- tadpole-spinal-cord-models-master/functional model/paper figures/
- tadpole-spinal-cord-models-master/functional model/nrnTemplate/
- tadpole-spinal-cord-models-master/functional model/nrnTemplate/__init__.py
- tadpole-spinal-cord-models-master/functional model/nrnMod/
- tadpole-spinal-cord-models-master/anatomical model/connectome files/
- tadpole-spinal-cord-models-master/functional model/paper figures/figure 5/
- tadpole-spinal-cord-models-master/functional model/paper figures/figure 4/
- tadpole-spinal-cord-models-master/functional model/paper figures/figure 3/
- tadpole-spinal-cord-models-master/functional model/nrnTemplate/CellTypes/
- tadpole-spinal-cord-models-master/functional model/nrnTemplate/CellTypes/__init__.py
Synchronized oscillations of clock gene expression in the choroid plexus (Myung et al 2018)
- CPmodel/
- CPmodel/2D_Poincare_Simulation/
- CPmodel/Simulation_Fig_S13/
- CPmodel/CP_TwistChain_Simulation/
Comprehensive models of human cortical pyramidal neurons (Eyal et al 2018)
- EyalEtAl2018link/
Generating neuron geometries for detailed 3D simulations using AnaMorph (Morschel et al 2017)
- MorschelEtAl2017/
Using NEURON for reaction-diffusion modeling of extracellular dynamics (Newton et al 2018)
- rxd_ecs/
Neuromuscular network model of gut motility (Barth et al 2017)
- BarthEtAl2017/
- BarthEtAl2017/code/
- BarthEtAl2017/figures/
A state-space model to quantify common input to motor neurons (Feeney et al 2017)
- FeeneyEtAl2017/
Morphological determinants of dendritic arborization neurons in Drosophila larva (Nanda et al 2018)
- StatisticalDeterminantModel/.settings/
- StatisticalDeterminantModel/bak/
- StatisticalDeterminantModel/bak/flanagan/
- StatisticalDeterminantModel/bak/flanagan/analysis/
- StatisticalDeterminantModel/bak/flanagan/math/
- StatisticalDeterminantModel/bak/randoms/
- StatisticalDeterminantModel/bak/swcparts/
- StatisticalDeterminantModel/bak/untitled.java~1~
- StatisticalDeterminantModel/bin/
- StatisticalDeterminantModel/bin/swcparts/
- StatisticalDeterminantModel/classes/
- StatisticalDeterminantModel/classes/package cache/
- StatisticalDeterminantModel/classes/swcparts/
- StatisticalDeterminantModel/src/
- StatisticalDeterminantModel/src/swcparts/
LFP signature of monosynaptic thalamocortical connection (Hagen et al 2017)
- HagenEtAl2017/
Short Term Depression, Presynaptic Inhib., Neuron Diversity Roles in Antennal Lobe (Wei & Lo 2020)
- WeiLo2020/
Optimal synaptic assignment for locomotory behavior in C. elegans (Rakowski & Karbowski 2017)
- RakowskiKarbowski2017/
- RakowskiKarbowski2017/elegans-optimisation/
- RakowskiKarbowski2017/elegans-optimisation/.git/
- RakowskiKarbowski2017/elegans-optimisation/.git/branches/
- RakowskiKarbowski2017/elegans-optimisation/.git/hooks/
- RakowskiKarbowski2017/elegans-optimisation/.git/info/
- RakowskiKarbowski2017/elegans-optimisation/.git/logs/
- RakowskiKarbowski2017/elegans-optimisation/.git/logs/refs/
- RakowskiKarbowski2017/elegans-optimisation/.git/logs/refs/heads/
- RakowskiKarbowski2017/elegans-optimisation/.git/logs/refs/remotes/
- RakowskiKarbowski2017/elegans-optimisation/.git/logs/refs/remotes/origin/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/11/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/23/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/26/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/2d/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/2f/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/32/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/39/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/42/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/48/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/4b/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/4c/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/4d/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/52/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/55/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/56/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/60/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/72/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/7a/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/7f/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/82/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/84/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/86/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/88/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/95/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/96/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/9b/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/b1/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/b3/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/bb/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/bc/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/c9/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/cc/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/d4/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/d6/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/d8/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/db/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/dc/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/e4/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/e7/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/ea/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/f7/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/fc/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/info/
- RakowskiKarbowski2017/elegans-optimisation/.git/objects/pack/
- RakowskiKarbowski2017/elegans-optimisation/.git/refs/
- RakowskiKarbowski2017/elegans-optimisation/.git/refs/heads/
- RakowskiKarbowski2017/elegans-optimisation/.git/refs/remotes/
- RakowskiKarbowski2017/elegans-optimisation/.git/refs/remotes/origin/
- RakowskiKarbowski2017/elegans-optimisation/.git/refs/tags/
- RakowskiKarbowski2017/elegans-optimisation/nbproject/
- RakowskiKarbowski2017/elegans-optimisation/src/
- RakowskiKarbowski2017/elegans-optimisation/src/pl/
- RakowskiKarbowski2017/elegans-optimisation/src/pl/umk/
- RakowskiKarbowski2017/elegans-optimisation/src/pl/umk/lgorski/
- RakowskiKarbowski2017/elegans-optimisation/src/pl/umk/lgorski/elegans/
- RakowskiKarbowski2017/elegans-optimisation/src/pl/umk/lgorski/elegans/evaluators/
- RakowskiKarbowski2017/elegans-optimisation/src/pl/umk/lgorski/elegans/vectors/
- RakowskiKarbowski2017/elegans-optimisation/src/pl/umk/lgorski/utils/
- RakowskiKarbowski2017/elegans-optimisation/test/
- RakowskiKarbowski2017/elegans-optimisation/test/pl/
- RakowskiKarbowski2017/elegans-optimisation/test/pl/umk/
- RakowskiKarbowski2017/elegans-optimisation/test/pl/umk/lgorski/
- RakowskiKarbowski2017/elegans-optimisation/test/pl/umk/lgorski/elegans/
- RakowskiKarbowski2017/elegans-optimisation/test/pl/umk/lgorski/elegans/evaluators/
- RakowskiKarbowski2017/elegans-optimisation/test/pl/umk/lgorski/utils/
- RakowskiKarbowski2017/elegans-simulation/
- RakowskiKarbowski2017/elegans-simulation/.git/
- RakowskiKarbowski2017/elegans-simulation/.git/branches/
- RakowskiKarbowski2017/elegans-simulation/.git/hooks/
- RakowskiKarbowski2017/elegans-simulation/.git/info/
- RakowskiKarbowski2017/elegans-simulation/.git/logs/
- RakowskiKarbowski2017/elegans-simulation/.git/logs/refs/
- RakowskiKarbowski2017/elegans-simulation/.git/logs/refs/heads/
- RakowskiKarbowski2017/elegans-simulation/.git/logs/refs/remotes/
- RakowskiKarbowski2017/elegans-simulation/.git/logs/refs/remotes/origin/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/0c/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/19/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/1e/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/2d/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/32/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/34/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/3a/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/48/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/4f/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/53/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/61/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/65/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/6b/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/79/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/82/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/94/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/9e/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/a5/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/b9/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/bb/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/c6/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/e4/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/e6/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/f8/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/fa/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/fe/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/info/
- RakowskiKarbowski2017/elegans-simulation/.git/objects/pack/
- RakowskiKarbowski2017/elegans-simulation/.git/refs/
- RakowskiKarbowski2017/elegans-simulation/.git/refs/heads/
- RakowskiKarbowski2017/elegans-simulation/.git/refs/remotes/
- RakowskiKarbowski2017/elegans-simulation/.git/refs/remotes/origin/
- RakowskiKarbowski2017/elegans-simulation/.git/refs/tags/
- RakowskiKarbowski2017/elegans-simulation/nbproject/
- RakowskiKarbowski2017/elegans-simulation/src/
- RakowskiKarbowski2017/elegans-simulation/src/pl/
- RakowskiKarbowski2017/elegans-simulation/src/pl/umk/
- RakowskiKarbowski2017/elegans-simulation/src/pl/umk/lgorski/
- RakowskiKarbowski2017/elegans-simulation/test/
- RakowskiKarbowski2017/elegans-simulation/test/pl/
- RakowskiKarbowski2017/elegans-simulation/test/pl/umk/
- RakowskiKarbowski2017/elegans-simulation/test/pl/umk/lgorski/
- RakowskiKarbowski2017/evolutionary-algorithm/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/branches/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/hooks/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/info/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/logs/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/logs/refs/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/logs/refs/heads/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/logs/refs/remotes/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/logs/refs/remotes/origin/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/objects/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/objects/info/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/objects/pack/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/refs/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/refs/heads/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/refs/remotes/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/refs/remotes/origin/
- RakowskiKarbowski2017/evolutionary-algorithm/.git/refs/tags/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/META-INF/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/META-INF/services/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/data/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/dataItems/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/lines/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/modification/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/paths/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/reporting/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/reporting/dataCoverage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/reporting/lineCoverage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/reporting/packages/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/reporting/parsing/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/reporting/pathCoverage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/reporting/sourceFiles/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/standalone/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverage/src/mockit/coverage/testRedundancy/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/src/integrationTests/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/src/integrationTests/data/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/src/integrationTests/loops/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/src/integrationTests/otherControlStructures/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/test/integrationTests/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/test/integrationTests/data/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/test/integrationTests/loops/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/coverageTests/test/integrationTests/otherControlStructures/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/META-INF/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/META-INF/services/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/com/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/com/sun/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/com/sun/tools/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/com/sun/tools/attach/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/com/sun/tools/attach/spi/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/external/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/external/asm/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/internal/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/junit4/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/junit4/internal/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/robolectric/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/robolectric/internal/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/testng/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/integration/testng/internal/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/capturing/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/classGeneration/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/expectations/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/expectations/argumentMatching/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/expectations/injection/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/expectations/invocation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/expectations/mocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/expectations/transformation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/mockups/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/startup/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/state/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/mockit/internal/util/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/org/junit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/org/junit/runner/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/sun/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/sun/tools/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/src/sun/tools/attach/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/integrationTests/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/integrationTests/homepage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/integrationTests/multicast/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/integrationTests/serviceA/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/integrationTests/serviceB/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/integrationTests/textFile/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/mockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/mockit/integration/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/mockit/integration/junit4/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/mockit/integration/testng/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/mockit/internal/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/main/test/mockit/internal/mockups/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/src/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/src/org/jdesktop/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/src/org/jdesktop/animation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/src/org/jdesktop/animation/transitions/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/src/org/jdesktop/animation/transitions/effects/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/test/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/test/org/jdesktop/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/test/org/jdesktop/animation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/test/org/jdesktop/animation/transitions/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/AnimatedTransitions/test/org/jdesktop/animation/transitions/effects/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/src/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/src/org/easymock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/src/org/easymock/documentation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/src/org/easymock/samples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/test/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/test/org/easymock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/test/org/easymock/documentation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/easymock/test/org/easymock/samples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/src/fakingXmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/src/fakingXmocking/original/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/src/fakingXmocking/simplified/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/src/java8testing/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/src/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/src/org/jmockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/test/fakingXmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/test/fakingXmocking/original/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/test/fakingXmocking/simplified/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/fakingXmocking/test/java8testing/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/org/jmock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/org/jmock/samples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/org/jmock/samples/cache/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/org/jmock/samples/fruitPicker/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/org/jmock/samples/parentChild/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/src/org/jmock/samples/sniper/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/org/jmock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/org/jmock/samples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/org/jmock/samples/cache/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/org/jmock/samples/fruitPicker/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/org/jmock/samples/parentChild/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/jmock/test/org/jmock/samples/sniper/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/src/jmockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/src/jmockit/loginExample/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/src/jmockit/loginExample/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/src/jmockit/loginExample/domain/userAccount/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/src/jmockit/loginExample/domain/userLogin/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/test/jmockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/test/jmockit/loginExample/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/test/jmockit/loginExample/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/LoginService/test/jmockit/loginExample/domain/userLogin/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/src/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/src/org/mockitousage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/src/org/mockitousage/examples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/src/org/mockitousage/examples/use/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/test/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/test/org/mockitousage/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/test/org/mockitousage/examples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/mockito/test/org/mockitousage/examples/use/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/coverageExperiments/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/orderMngr/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/orderMngr/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/orderMngr/domain/order/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/orderMngr/service/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/orderMngr/web/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/orderMngr/web/submitOrder/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/src/site/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/test/coverageExperiments/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/test/orderMngr/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/test/orderMngr/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/test/orderMngr/domain/order/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/test/orderMngr/web/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/orderMngmntWebapp/test/orderMngr/web/submitOrder/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/annotationbased/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/annotationbased/dao/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/bypassencapsulation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/bypassencapsulation/nontest/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/dependencymanagement/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/finalmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/mockpolicy/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/mockpolicy/nontest/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/mockpolicy/nontest/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/newmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/privatemocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/service/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/service/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/simple/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/staticmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/suppress/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/suppress/constructor/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/suppress/constructorhierarchy/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/suppress/method/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/suppress/staticinitializer/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/domainmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/domainmocking/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/domainmocking/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/hellopower/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/partialmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/partialmocking/dao/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/partialmocking/dao/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/partialmocking/dao/domain/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/partialmocking/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/partialmocking/service/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/partialmocking/service/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/staticmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/staticmocking/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/src/powermock/examples/tutorial/staticmocking/osgi/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/annotationbased/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/bypassencapsulation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/finalmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/mockpolicy/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/mockpolicy/policy/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/newmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/privatemocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/simple/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/staticmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/suppress/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/suppress/constructor/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/suppress/constructorhierarchy/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/suppress/method/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/suppress/staticinitializer/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/domainmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/domainmocking/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/hellopower/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/partialmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/partialmocking/service/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/partialmocking/service/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/staticmocking/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/powermock/test/powermock/examples/tutorial/staticmocking/impl/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/src/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/src/org/jdesktop/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/src/org/jdesktop/animation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/src/org/jdesktop/animation/timing/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/src/org/jdesktop/animation/timing/interpolation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/src/org/jdesktop/animation/timing/triggers/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/end2end/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/org/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/org/jdesktop/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/org/jdesktop/animation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/org/jdesktop/animation/timing/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/org/jdesktop/animation/timing/interpolation/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/TimingFramework/test/org/jdesktop/animation/timing/triggers/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/tourDeMock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/tourDeMock/original/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/tourDeMock/original/service/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/tourDeMock/simpler/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/tourDeMock/simpler/service/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/tourDeMock/springdi/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/src/tourDeMock/springdi/service/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/test/tourDeMock/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/test/tourDeMock/original/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/test/tourDeMock/simpler/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tourdemock/test/tourDeMock/springdi/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/META-INF/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/src/jmockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/src/jmockit/tutorial/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/src/jmockit/tutorial/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/src/jmockit/tutorial/persistence/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/test/jmockit/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/test/jmockit/tutorial/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/tutorial/test/jmockit/tutorial/domain/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/src/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/src/unitils/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/src/unitils/tutorial/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/src/unitils/wiki/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/test/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/test/unitils/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/test/unitils/tutorial/
- RakowskiKarbowski2017/evolutionary-algorithm/lib/jmockit1.org/samples/unitils/test/unitils/wiki/
- RakowskiKarbowski2017/evolutionary-algorithm/nbproject/
- RakowskiKarbowski2017/evolutionary-algorithm/src/
- RakowskiKarbowski2017/evolutionary-algorithm/src/pde/
- RakowskiKarbowski2017/evolutionary-algorithm/src/pde/dumper/
- RakowskiKarbowski2017/evolutionary-algorithm/src/pde/evaluators/
- RakowskiKarbowski2017/evolutionary-algorithm/src/pde/parallel/
- RakowskiKarbowski2017/evolutionary-algorithm/src/pde/parallel/loadbalancing/
- RakowskiKarbowski2017/evolutionary-algorithm/src/pde/testers/
- RakowskiKarbowski2017/evolutionary-algorithm/src/pde/vectorspolicies/
- RakowskiKarbowski2017/evolutionary-algorithm/test/
- RakowskiKarbowski2017/evolutionary-algorithm/test/pde/
- RakowskiKarbowski2017/evolutionary-algorithm/test/pde/evaluator/
- RakowskiKarbowski2017/evolutionary-algorithm/test/pde/parallel/
- RakowskiKarbowski2017/evolutionary-algorithm/test/pde/parallel/loadbalancing/
- RakowskiKarbowski2017/evolutionary-algorithm/test/pde/vectorspolicies/
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)
- Scheler2017/
- Scheler2017/ezyfit/
- Scheler2017/ezyfit/demo/
- Scheler2017/ezyfit/demo/html/
- Scheler2017/ezyfit/html/
- Scheler2017/ezyfit/private/
- Scheler2017/gscheler-GNN-40349ef/
Analytical modelling of temperature effects on an AMPA-type synapse (Kufel & Wojcik 2018)
- ModelCode/
- ModelCode/Other kinetic schemes used/
Evolving simple models of diverse dynamics in hippocampal neuron types (Venkadesh et al 2018)
- VenkadeshEtAl2018/
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
- model_publication/
- model_publication/README.fld/
- model_publication/celltype_PSTH/
- model_publication/lib/
- model_publication/lib/single_cell_analyzer/
- model_publication/lib/visualization/
- model_publication/lib/single_cell_parser/
- model_publication/mechanisms/
- model_publication/connectome/
- model_publication/connectome/reduced_model/
- model_publication/connectome/control/
- model_publication/connectome/control/D2border/
- model_publication/connectome/control/D2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D2border_synapses_20150504-1629_10397/
- model_publication/connectome/control/D2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D2border_synapses_20150504-1629_10397/presynaptic_somata/
- model_publication/connectome/control/D2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D2border_synapses_20150504-1629_10397/soma_synapses/
- model_publication/connectome/control/D2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D2border_synapses_20150504-1629_10397/basal_synapses/
- model_publication/connectome/control/D2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D2border_synapses_20150504-1629_10397/apical_synapses/
- model_publication/connectome/control/D2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D2border_synapses_20150504-1629_10397/total_synapses/
- model_publication/connectome/control/D3border/
- model_publication/connectome/control/D3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D3border_synapses_20150504-1630_10399/
- model_publication/connectome/control/D3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D3border_synapses_20150504-1630_10399/presynaptic_somata/
- model_publication/connectome/control/D3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D3border_synapses_20150504-1630_10399/soma_synapses/
- model_publication/connectome/control/D3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D3border_synapses_20150504-1630_10399/basal_synapses/
- model_publication/connectome/control/D3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D3border_synapses_20150504-1630_10399/apical_synapses/
- model_publication/connectome/control/D3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D3border_synapses_20150504-1630_10399/total_synapses/
- model_publication/connectome/control/B3border/
- model_publication/connectome/control/B3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B3border_synapses_20150504-1959_11710/
- model_publication/connectome/control/B3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B3border_synapses_20150504-1959_11710/presynaptic_somata/
- model_publication/connectome/control/B3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B3border_synapses_20150504-1959_11710/soma_synapses/
- model_publication/connectome/control/B3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B3border_synapses_20150504-1959_11710/basal_synapses/
- model_publication/connectome/control/B3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B3border_synapses_20150504-1959_11710/apical_synapses/
- model_publication/connectome/control/B3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B3border_synapses_20150504-1959_11710/total_synapses/
- model_publication/connectome/control/B1border/
- model_publication/connectome/control/B1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B1border_synapses_20150504-1602_10393/
- model_publication/connectome/control/B1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B1border_synapses_20150504-1602_10393/presynaptic_somata/
- model_publication/connectome/control/B1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B1border_synapses_20150504-1602_10393/soma_synapses/
- model_publication/connectome/control/B1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B1border_synapses_20150504-1602_10393/basal_synapses/
- model_publication/connectome/control/B1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B1border_synapses_20150504-1602_10393/apical_synapses/
- model_publication/connectome/control/B1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B1border_synapses_20150504-1602_10393/total_synapses/
- model_publication/connectome/control/B2border/
- model_publication/connectome/control/B2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B2border_synapses_20150504-2001_11709/
- model_publication/connectome/control/B2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B2border_synapses_20150504-2001_11709/presynaptic_somata/
- model_publication/connectome/control/B2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B2border_synapses_20150504-2001_11709/soma_synapses/
- model_publication/connectome/control/B2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B2border_synapses_20150504-2001_11709/basal_synapses/
- model_publication/connectome/control/B2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B2border_synapses_20150504-2001_11709/apical_synapses/
- model_publication/connectome/control/B2border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_B2border_synapses_20150504-2001_11709/total_synapses/
- model_publication/connectome/control/D1border/
- model_publication/connectome/control/D1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D1border_synapses_20150504-1612_10395/
- model_publication/connectome/control/D1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D1border_synapses_20150504-1612_10395/presynaptic_somata/
- model_publication/connectome/control/D1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D1border_synapses_20150504-1612_10395/soma_synapses/
- model_publication/connectome/control/D1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D1border_synapses_20150504-1612_10395/basal_synapses/
- model_publication/connectome/control/D1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D1border_synapses_20150504-1612_10395/apical_synapses/
- model_publication/connectome/control/D1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_D1border_synapses_20150504-1612_10395/total_synapses/
- model_publication/connectome/control/C1border/
- model_publication/connectome/control/C1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C1border_synapses_20150504-1606_10377/
- model_publication/connectome/control/C1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C1border_synapses_20150504-1606_10377/presynaptic_somata/
- model_publication/connectome/control/C1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C1border_synapses_20150504-1606_10377/soma_synapses/
- model_publication/connectome/control/C1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C1border_synapses_20150504-1606_10377/basal_synapses/
- model_publication/connectome/control/C1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C1border_synapses_20150504-1606_10377/apical_synapses/
- model_publication/connectome/control/C1border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C1border_synapses_20150504-1606_10377/total_synapses/
- model_publication/connectome/control/C3border/
- model_publication/connectome/control/C3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C3border_synapses_20150504-1602_10391/
- model_publication/connectome/control/C3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C3border_synapses_20150504-1602_10391/presynaptic_somata/
- model_publication/connectome/control/C3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C3border_synapses_20150504-1602_10391/soma_synapses/
- model_publication/connectome/control/C3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C3border_synapses_20150504-1602_10391/basal_synapses/
- model_publication/connectome/control/C3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C3border_synapses_20150504-1602_10391/apical_synapses/
- model_publication/connectome/control/C3border/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2_C3border_synapses_20150504-1602_10391/total_synapses/
- model_publication/connectome/control/C2center/
- model_publication/connectome/control/C2center/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2center_synapses_20150504-1611_10389/
- model_publication/connectome/control/C2center/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2center_synapses_20150504-1611_10389/presynaptic_somata/
- model_publication/connectome/control/C2center/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2center_synapses_20150504-1611_10389/soma_synapses/
- model_publication/connectome/control/C2center/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2center_synapses_20150504-1611_10389/basal_synapses/
- model_publication/connectome/control/C2center/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2center_synapses_20150504-1611_10389/apical_synapses/
- model_publication/connectome/control/C2center/86_L5_CDK20041214_nr3L5B_dend_PC_neuron_transform_registered_C2center_synapses_20150504-1611_10389/total_synapses/
- model_publication/evoked_activity/
- model_publication/evoked_activity/manipulation2/
- model_publication/evoked_activity/reduced_model/
- model_publication/evoked_activity/control/
- model_publication/evoked_activity/manipulation1/
- model_publication/evoked_activity/manipulation3/
A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018)
- simulation_scripts/
- __MACOSX/
- __MACOSX/simulation_scripts/
- simulation_scripts/cirsiumNeuron/
- __MACOSX/simulation_scripts/cirsiumNeuron/
- simulation_scripts/cirsiumNeuron/steady_state_method/
- __MACOSX/simulation_scripts/cirsiumNeuron/steady_state_method/
- simulation_scripts/cirsiumNeuron/transient_method/
- __MACOSX/simulation_scripts/cirsiumNeuron/transient_method/
- simulation_scripts/run_scripts/
- __MACOSX/simulation_scripts/run_scripts/
DynaSim: a MATLAB toolbox for neural modeling and simulation (Sherfey et al 2018)
- DynaSimWebLink/
Phase response theory in sparsely + strongly connected inhibitory NNs (Tikidji-Hamburyan et al 2019)
- JNeurophy-2019/
- JNeurophy-2019/PIR-EInetwork/
- JNeurophy-2019/PIR-Inetwork/
- JNeurophy-2019/PIR-EInetwork/simtools/
Brain Dynamics Toolbox (Heitmann & Breakspear 2016, 2017, 2018)
- BrainDynamics/
Vibration-sensitive Honeybee interneurons (Ai et al 2017)
- AiEtAl2017/
- AiEtAl2017/HB-PAC_disinhibitory_network/
- AiEtAl2017/HB-PAC_disinhibitory_network/models/
- AiEtAl2017/HB-PAC_disinhibitory_network/models/__init__.py
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/branches/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/bf/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/ec/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/53/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/60/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/c6/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/b4/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/a8/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/68/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/83/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/c4/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/18/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/ea/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/88/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/80/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/43/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/e3/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/3f/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/0a/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/f6/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/2e/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/7d/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/info/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/8b/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/58/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/98/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/30/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/6d/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/fa/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/2a/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/7c/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/52/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/45/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/aa/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/b9/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/4b/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/af/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/cb/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/pack/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/11/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/cf/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/44/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/be/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/71/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/7a/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/51/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/ce/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/1d/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/86/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/f4/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/4a/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/94/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/d9/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/c0/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/ed/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/c3/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/4e/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/b3/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/05/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/cc/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/3b/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/17/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/3e/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/cd/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/ad/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/e6/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/f7/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/46/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/objects/13/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/info/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/refs/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/refs/heads/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/refs/tags/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/refs/remotes/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/refs/remotes/origin/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/logs/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/logs/refs/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/logs/refs/heads/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/logs/refs/remotes/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/logs/refs/remotes/origin/
- AiEtAl2017/HB-PAC_disinhibitory_network/.git/hooks/
- AiEtAl2017/HB-PAC_disinhibitory_network/paramLists/
- AiEtAl2017/HB-PAC_disinhibitory_network/__init__.py
NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017)
- HuNeibur2017/
Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017)
- Purkinjecell_2017/
- Purkinjecell_2017/protocols/
- Purkinjecell_2017/mod_files/
Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018)
- Code_to_ModelDB/
- Code_to_ModelDB/Figure4CD/
- Code_to_ModelDB/Figure4E/
- Code_to_ModelDB/Figure4CD/Step2-sleep_learning/
- Code_to_ModelDB/Figure4CD/Step1-wake_learning/
- Code_to_ModelDB/Figure4CD/Step3-figures/
- Code_to_ModelDB/Figure4CD/Figures/
- Code_to_ModelDB/Figure4CD/Data/
- Code_to_ModelDB/Figure4E/Figures/
- Code_to_ModelDB/Figure4E/Data/
Drosophila T4 neuron (Gruntman et al 2018)
- Figure5_Neuron_simulation_files/
- __MACOSX/
- __MACOSX/Figure5_Neuron_simulation_files/
A basal ganglia model of aberrant learning (Ursino et al. 2018)
- UrsinoBaston2018/
- UrsinoBaston2018/images/
PyMUS: A Python based Motor Unit Simulator (Kim & Kim 2018)
- PyMus/
- PyMus/parameters/
- PyMus/parameters/Iaxon/
- PyMus/parameters/Isoma/
- PyMus/parameters/Isyn/
- PyMus/parameters/MF_Parameters/
- PyMus/parameters/MN_Parameters/
- PyMus/parameters/Xm/
- PyMus/resources/
Computational endophenotypes in addiction (Fiore et al 2018)
- FioreEtAl2018/
- FioreEtAl2018/neural_model/
- FioreEtAl2018/neural_model/store_seeds/
- FioreEtAl2018/RL_model/
PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
- HelferShultz2018/
- HelferShultz2018/gil/
- HelferShultz2018/include/
- HelferShultz2018/include/fmt/
- HelferShultz2018/lib/
- HelferShultz2018/lib/fmt/
Motoneuron pool input-output function (Powers & Heckman 2017)
- RPCH_JNP17/
- RPCH_JNP17/FivecompthTAlw/
- RPCH_JNP17/FivecompthTA/
- RPCH_JNP17/FivecomptcMG/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_13/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_14/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_0/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_7/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_9/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_15/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_12/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_8/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_6/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_1/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_4/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_3/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_19/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_17/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_10/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_2/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_5/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_11/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_16/
- RPCH_JNP17/FivecompthTAlw/FivecompthTAlw_18/
- RPCH_JNP17/FivecompthTA/FivecompthTA_11/
- RPCH_JNP17/FivecompthTA/FivecompthTA_16/
- RPCH_JNP17/FivecompthTA/FivecompthTA_18/
- RPCH_JNP17/FivecompthTA/FivecompthTA_19/
- RPCH_JNP17/FivecompthTA/FivecompthTA_17/
- RPCH_JNP17/FivecompthTA/FivecompthTA_10/
- RPCH_JNP17/FivecompthTA/FivecompthTA_9/
- RPCH_JNP17/FivecompthTA/FivecompthTA_7/
- RPCH_JNP17/FivecompthTA/FivecompthTA_0/
- RPCH_JNP17/FivecompthTA/FivecompthTA_1/
- RPCH_JNP17/FivecompthTA/FivecompthTA_6/
- RPCH_JNP17/FivecompthTA/FivecompthTA_8/
- RPCH_JNP17/FivecompthTA/FivecompthTA_15/
- RPCH_JNP17/FivecompthTA/FivecompthTA_12/
- RPCH_JNP17/FivecompthTA/FivecompthTA_13/
- RPCH_JNP17/FivecompthTA/FivecompthTA_14/
- RPCH_JNP17/FivecompthTA/FivecompthTA_3/
- RPCH_JNP17/FivecompthTA/FivecompthTA_4/
- RPCH_JNP17/FivecompthTA/FivecompthTA_5/
- RPCH_JNP17/FivecompthTA/FivecompthTA_2/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_1/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_6/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_8/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_9/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_7/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_0/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_19/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_10/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_17/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_16/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_11/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_18/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_5/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_2/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_3/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_4/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_14/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_13/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_12/
- RPCH_JNP17/FivecomptcMG/FivecomptcMG_15/
Adjusted regularization of cortical covariance (Vinci et al 2018)
- GARggm/
- __MACOSX/
- __MACOSX/GARggm/
Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
- D1signal_modelDB/
- D1signal_modelDB/robust/
- D1signal_modelDB/images/
- D1signal_modelDB/ss_bath/
- D1signal_modelDB/ss_bath/.gitignore
- D1signal_modelDB/UchiNew/
Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)
- Biophysical_thalamocortical_system/
- Biophysical_thalamocortical_system/cortex_neurons/
- Biophysical_thalamocortical_system/Geir2011/
- Biophysical_thalamocortical_system/TC_neuron/
- Biophysical_thalamocortical_system/thalamocortical/
- Biophysical_thalamocortical_system/thalamocortical/plots/
- Biophysical_thalamocortical_system/thalamocortical/results/
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
- modeldb-bulb3d/
- modeldb-bulb3d/vis/
- modeldb-bulb3d/sim/
- modeldb-bulb3d/vis/geodist.txt
- modeldb-bulb3d/sim/blanes_exc_conn.txt
External Tufted Cell Model (Ryan Viertel, Alla Borisyuk 2019)
- ET-Cell-Model-master/
- ET-Cell-Model-master/ME-PCM/
- ET-Cell-Model-master/xpp/
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
- MozafariEtAl2018/
- MozafariEtAl2018/CNN/
- MozafariEtAl2018/RLSNN/
- MozafariEtAl2018/RLSNN/Core/
- MozafariEtAl2018/RLSNN/Core/Properties/
- MozafariEtAl2018/RLSNN/Tester/
- MozafariEtAl2018/RLSNN/Tester/dataset/
- MozafariEtAl2018/RLSNN/Tester/dataset/caltech/
- MozafariEtAl2018/RLSNN/Tester/dataset/caltech/Face/
- MozafariEtAl2018/RLSNN/Tester/dataset/caltech/Motorbike/
- MozafariEtAl2018/RLSNN/Tester/Properties/
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
- Ramirez-MahalufEtAl2017/
Extracellular fields for a three-dimensional network of cells using NEURON (Appukuttan et al 2017)
- Appukuttan_et_al_2017_Fig15/
CA1 pyramidal neuron: Persistent Na current mediates steep synaptic amplification (Hsu et al 2018)
- HsuEtAl2018/
- HsuEtAl2018/FullModel/
- HsuEtAl2018/FullModel/data/
- HsuEtAl2018/FullModel/morphologies/
- HsuEtAl2018/SimpleModel/
Actions of Rotenone on ionic currents and MEPPs in Mouse Hippocampal Neurons (Huang et al 2018)
- Rotenone-ChemAut/
AP initiation, propagation, and cortical invasion in a Layer 5 pyramidal cell (Anderson et 2018)
- AndersonEtAl2018/
- AndersonEtAl2018/binzeggerAxon/
- AndersonEtAl2018/experiment/
- AndersonEtAl2018/experiment/excinhib/
- AndersonEtAl2018/experiment/excinhib/excitatory/
- AndersonEtAl2018/experiment/excinhib/inhibitory/
- AndersonEtAl2018/extracellular/
- AndersonEtAl2018/lib/
- AndersonEtAl2018/Matlab/
- AndersonEtAl2018/Matlab/Vm/
- AndersonEtAl2018/mechanism/
- AndersonEtAl2018/morphology/
- AndersonEtAl2018/session/
Biophysically realistic neuron models for simulation of cortical stimulation (Aberra et al. 2018)
- AberraEtAl2018/
- AberraEtAl2018/cells/
- AberraEtAl2018/mechanisms/
- AberraEtAl2018/README.fld/
- AberraEtAl2018/cells/L23_PC_cADpyr229_2/
- AberraEtAl2018/cells/L23_PC_cADpyr229_5/
- AberraEtAl2018/cells/L23_PC_cADpyr229_4/
- AberraEtAl2018/cells/L23_PC_cADpyr229_3/
- AberraEtAl2018/cells/L4_LBC_cACint209_4/
- AberraEtAl2018/cells/L4_LBC_cACint209_3/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_3/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_4/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_1/
- AberraEtAl2018/cells/L4_LBC_cACint209_2/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_1/
- AberraEtAl2018/cells/L4_LBC_cACint209_5/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_5/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_2/
- AberraEtAl2018/cells/L23_PC_cADpyr229_1/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_4/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_3/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_4/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_3/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_1/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_2/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_5/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_2/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_5/
- AberraEtAl2018/cells/L4_LBC_cACint209_1/
- AberraEtAl2018/cells/L23_PC_cADpyr229_2/mechanisms/
- AberraEtAl2018/cells/L23_PC_cADpyr229_2/synapses/
- AberraEtAl2018/cells/L23_PC_cADpyr229_2/morphology/
- AberraEtAl2018/cells/L23_PC_cADpyr229_5/mechanisms/
- AberraEtAl2018/cells/L23_PC_cADpyr229_5/synapses/
- AberraEtAl2018/cells/L23_PC_cADpyr229_5/morphology/
- AberraEtAl2018/cells/L23_PC_cADpyr229_4/mechanisms/
- AberraEtAl2018/cells/L23_PC_cADpyr229_4/synapses/
- AberraEtAl2018/cells/L23_PC_cADpyr229_4/morphology/
- AberraEtAl2018/cells/L23_PC_cADpyr229_3/mechanisms/
- AberraEtAl2018/cells/L23_PC_cADpyr229_3/synapses/
- AberraEtAl2018/cells/L23_PC_cADpyr229_3/morphology/
- AberraEtAl2018/cells/L4_LBC_cACint209_4/mechanisms/
- AberraEtAl2018/cells/L4_LBC_cACint209_4/synapses/
- AberraEtAl2018/cells/L4_LBC_cACint209_4/morphology/
- AberraEtAl2018/cells/L4_LBC_cACint209_3/mechanisms/
- AberraEtAl2018/cells/L4_LBC_cACint209_3/synapses/
- AberraEtAl2018/cells/L4_LBC_cACint209_3/morphology/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_3/mechanisms/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_3/synapses/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_3/morphology/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_4/mechanisms/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_4/synapses/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_4/morphology/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_1/mechanisms/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_1/synapses/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_1/morphology/
- AberraEtAl2018/cells/L4_LBC_cACint209_2/mechanisms/
- AberraEtAl2018/cells/L4_LBC_cACint209_2/synapses/
- AberraEtAl2018/cells/L4_LBC_cACint209_2/morphology/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_1/mechanisms/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_1/synapses/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_1/morphology/
- AberraEtAl2018/cells/L4_LBC_cACint209_5/mechanisms/
- AberraEtAl2018/cells/L4_LBC_cACint209_5/synapses/
- AberraEtAl2018/cells/L4_LBC_cACint209_5/morphology/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_5/mechanisms/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_5/synapses/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_5/morphology/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_2/mechanisms/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_2/synapses/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_2/morphology/
- AberraEtAl2018/cells/L23_PC_cADpyr229_1/mechanisms/
- AberraEtAl2018/cells/L23_PC_cADpyr229_1/synapses/
- AberraEtAl2018/cells/L23_PC_cADpyr229_1/morphology/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_4/mechanisms/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_4/synapses/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_4/morphology/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_3/mechanisms/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_3/synapses/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_3/morphology/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_4/mechanisms/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_4/synapses/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_4/morphology/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_3/mechanisms/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_3/synapses/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_3/morphology/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_1/mechanisms/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_1/synapses/
- AberraEtAl2018/cells/L6_TPC_L4_cADpyr231_1/morphology/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_2/mechanisms/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_2/synapses/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_2/morphology/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_5/mechanisms/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_5/synapses/
- AberraEtAl2018/cells/L1_NGC-DA_bNAC219_5/morphology/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_2/mechanisms/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_2/synapses/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_2/morphology/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_5/mechanisms/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_5/synapses/
- AberraEtAl2018/cells/L5_TTPC2_cADpyr232_5/morphology/
- AberraEtAl2018/cells/L4_LBC_cACint209_1/mechanisms/
- AberraEtAl2018/cells/L4_LBC_cACint209_1/synapses/
- AberraEtAl2018/cells/L4_LBC_cACint209_1/morphology/
Role of afferent-hair cell connectivity in determining spike train regularity (Holmes et al 2017)
- holmes_vestibular_afferent/
Contribution of the axon initial segment to APs recorded extracellularly (Telenczuk et al 2018)
- TelenczukEtAl2018/
Genetic, biochemical and bioelectrical dynamics in pattern regulation (Pietak & Levin 2017)
- PietakLevin2017/
Place and grid cells in a loop (Rennó-Costa & Tort 2017)
- Renno-CostaTort2017/
Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
- Sailamul_et_al_2017_code/Heterogeneity/
- Sailamul_et_al_2017_code/Input/
- Sailamul_et_al_2017_code/SimResult/
Modeling brain dynamics in brain tumor patients using the Virtual Brain (Aerts et al 2018)
- AertsEtAl2018/
Model of the hippocampus over the sleep-wake cycle using Hodgkin-Huxley neurons (Aussel et al 2018)
- AusselEtAl2018/
Voltage- and Branch-specific Climbing Fiber Responses in Purkinje Cells (Zang et al 2018)
- purkinje_pub/
- purkinje_pub/mod/
SHOT-CA3, RO-CA1 Training, & Simulation CODE in models of hippocampal replay (Nicola & Clopath 2019)
- CODE/
Computational model of bladder small DRG neuron soma (Mandge & Manchanda 2018)
- MandgeManchanda2018/
Disentangling astroglial physiology with a realistic cell model in silico (Savtchenko et al 2018)
- Astro/
- Astro/clusterCaSim/
- Astro/clusterCaSim/hpc/
- Astro/clusterCaSim/hpc/user_geometry/
- Astro/clusterCaSim/hpc/user_geometry/.gitkeep
- Astro/clusterCaSim/hpc/model/
- Astro/clusterCaSim/hpc/scripts/
- Astro/clusterCaSim/host/
- Astro/clusterCaSim/host/ModifiedGeometry/
- Astro/clusterCaSim/host/GUI/
- Astro/clusterCaSim/host/GUI/AddParameter/
- Astro/clusterCaSim/host/GUI/OtherUtils/
- Astro/clusterCaSim/host/GUI/Callbacks/
- Astro/clusterCaSim/host/GUI/ValidationPredicates/
- Astro/clusterCaSim/host/GUI/GuiUtils/
- Astro/clusterCaSim/host/GUI/AddPanel/
- Astro/clusterCaSim/host/Core/
- Astro/clusterCaSim/host/Core/3rdparty/
- Astro/clusterCaSim/host/Core/scripts/
- Astro/clusterCaSim/host/Core/scripts/win-win/
- Astro/clusterCaSim/host/Core/scripts/win-lin/
- Astro/nanoGeometry/
- Astro/nanoGeometry/IO/
- Astro/nanoGeometry/Callbacks/
- Astro/nanoGeometry/Sections/
- Astro/nanoGeometry/Sections/Actions/
- Astro/nanoGeometry/GUI/
- Astro/nanoGeometry/GUI/AstroGUI/
- Astro/nanoGeometry/GUI/AstroGUI/AddParameter/
- Astro/nanoGeometry/GUI/AstroGUI/OtherUtils/
- Astro/nanoGeometry/GUI/AstroGUI/Callbacks/
- Astro/nanoGeometry/GUI/AstroGUI/GuiUtils/
- Astro/nanoGeometry/GUI/AstroGUI/AddPanel/
- Astro/nanoGeometry/Core/
- Astro/nanoGeometry/Core/CylinderModel/
- Astro/nanoGeometry/Core/PolygonalModel/
- Astro/nanoGeometry/Core/ThirdParty/
- Astro/nanoGeometry/Core/ThirdParty/geom3d/
- Astro/neuronSims/
- Astro/neuronSims/Simulations/
- Astro/neuronSims/Simulations/AdvanceProcs/
- Astro/neuronSims/Text results/
- Astro/neuronSims/ExtraMechanism/
- Astro/neuronSims/ExtraMechanism/fink2000/
- Astro/neuronSims/Geometry/
- Astro/neuronSims/Geometry/Control/
- Astro/scripts/
QIF method to estimate synaptic conductances (Vich et al 2017)
- QIFmethod_finalVersion/
- QIFmethod_finalVersion/images/
An oscillatory neural autoencoder based on frequency modulation and multiplexing (Soman et al 2018)
- oscillator_autoencoder/
Human somatosensory and motor axon pair to compare thresholds (Gaines et al 2018)
- GainesEtAl2018/
Action potential of mouse urinary bladder smooth muscle (Mahapatra et al 2018)
- MahapatraEtAl2018/
A biophysical model of vestibular ganglion neurons (Hight & Kalluri 2016, Ventura & Kalluri 2018)
- VGN_Model/Analysis_Ventura and Kalluri 2018/
A full-scale cortical microcircuit spiking network model (Shimoura et al 2018)
- corticalMicrocircuit/
- corticalMicrocircuit/code/
- corticalMicrocircuit/code/figures/
- corticalMicrocircuit/data/
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
- cEP_stndbs_4.5hz/
- cEP_stndbs_4.5hz/cells/
- cEP_stndbs_4.5hz/net/
- cEP_stndbs_4.5hz/hoc/
- cEP_stndbs_4.5hz/dat/
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
- MuddapuEtAl2019/
STDP and BDNF in CA1 spines (Solinas et al. 2019)
- SolinasEtAl2019/
- SolinasEtAl2019/mod_files/
Voltage and light-sensitive Channelrhodopsin-2 model (ChR2-H134R) (Williams et al. 2013) (NEURON)
- WilliamsEtAl2013NEURON/
CA1 pyramidal neuron (Combe et al 2018)
- CombeEtAl2018/
- CombeEtAl2018/experiment/
- CombeEtAl2018/lib/
- CombeEtAl2018/pc2b/
- CombeEtAl2018/template/
Human sleep-wake regulatory network model (Gleit et al 2013, Booth et al 2017)
- GleitEtAl2013BoothEtAl2017/
- GleitEtAl2013BoothEtAl2017/images/
Determinants of the intracellular and extracellular waveforms in DA neurons (Lopez-Jury et al 2018)
- DAnotch_AIS/
- DAnotch_AIS/images/
Cerebellum Purkinje cell: dendritic ion channels activated by climbing fibre (Ait Ouares et al 2019)
- luizapurkinje/
Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
- MasquelierEtAl2018/
- MasquelierEtAl2018/data/
- MasquelierEtAl2018/data/.gitkeep
- MasquelierEtAl2018/images/
- MasquelierEtAl2018/src/
Coincident signals in Olfactory Bulb Granule Cell spines (Aghvami et al 2019)
- Coincidence_Detection/
Channel density variability among CA1 neurons (Migliore et al. 2018)
- MiglioreEtAl2018PLOSCompBiol2018/
- MiglioreEtAl2018PLOSCompBiol2018/morphologies/
- MiglioreEtAl2018PLOSCompBiol2018/readme_file/
Long term potentiation, LTP, protein synthesis, proteasome (Smolen et al. 2018)
- SmolenEtAl2018/
Gap junction subtypes (Appukuttan et al 2016)
- Appukuttan_et_al_2016_Fig3/
Active dendrites shape signaling microdomains in hippocampal neurons (Basak & Narayanan 2018)
- Basak_Narayayanan_2018/
- Basak_Narayayanan_2018/Spine1000_sample/
- Basak_Narayayanan_2018/Spine1000_sample/.gitkeep
Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017)
- MukundaNarayanan2017/
- MukundaNarayanan2017/data/
- MukundaNarayanan2017/data/.gitkeep
Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018)
- ZannoneEtAl2018/
- ZannoneEtAl2018/images/
Hippocampal CA1 pyramidal cell demonstrating dynamic mode switching (Berteau & Bullock 2020)
- Final Submission to Senselab/CA1Plots/
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
- STDP_Disparity/
- STDP_Disparity/Datasets/
- STDP_Disparity/Datasets/KITTI/
- STDP_Disparity/Datasets/KITTI/L/
- STDP_Disparity/Datasets/KITTI/R/
- STDP_Disparity/Datasets/HH/
- STDP_Disparity/Datasets/HH/L/
- STDP_Disparity/Datasets/HH/R/
- STDP_Disparity/Libraries/
- STDP_Disparity/Libraries/tbDoG/
- STDP_Disparity/Libraries/tbSampling/
- STDP_Disparity/Libraries/tbSTDP/
- STDP_Disparity/Libraries/tbTestBench/
- STDP_Disparity/Data/
Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018)
- modelDB_eLife2018/
- modelDB_eLife2018/.git/
- modelDB_eLife2018/.git/branches/
- modelDB_eLife2018/.git/hooks/
- modelDB_eLife2018/.git/info/
- modelDB_eLife2018/.git/logs/
- modelDB_eLife2018/.git/logs/refs/
- modelDB_eLife2018/.git/logs/refs/heads/
- modelDB_eLife2018/.git/logs/refs/remotes/
- modelDB_eLife2018/.git/logs/refs/remotes/origin/
- modelDB_eLife2018/.git/objects/
- modelDB_eLife2018/.git/objects/01/
- modelDB_eLife2018/.git/objects/07/
- modelDB_eLife2018/.git/objects/11/
- modelDB_eLife2018/.git/objects/16/
- modelDB_eLife2018/.git/objects/19/
- modelDB_eLife2018/.git/objects/20/
- modelDB_eLife2018/.git/objects/22/
- modelDB_eLife2018/.git/objects/25/
- modelDB_eLife2018/.git/objects/2c/
- modelDB_eLife2018/.git/objects/2d/
- modelDB_eLife2018/.git/objects/2e/
- modelDB_eLife2018/.git/objects/30/
- modelDB_eLife2018/.git/objects/31/
- modelDB_eLife2018/.git/objects/32/
- modelDB_eLife2018/.git/objects/37/
- modelDB_eLife2018/.git/objects/3a/
- modelDB_eLife2018/.git/objects/3c/
- modelDB_eLife2018/.git/objects/3e/
- modelDB_eLife2018/.git/objects/41/
- modelDB_eLife2018/.git/objects/45/
- modelDB_eLife2018/.git/objects/4a/
- modelDB_eLife2018/.git/objects/4e/
- modelDB_eLife2018/.git/objects/4f/
- modelDB_eLife2018/.git/objects/50/
- modelDB_eLife2018/.git/objects/54/
- modelDB_eLife2018/.git/objects/56/
- modelDB_eLife2018/.git/objects/5e/
- modelDB_eLife2018/.git/objects/6b/
- modelDB_eLife2018/.git/objects/6d/
- modelDB_eLife2018/.git/objects/6f/
- modelDB_eLife2018/.git/objects/73/
- modelDB_eLife2018/.git/objects/76/
- modelDB_eLife2018/.git/objects/81/
- modelDB_eLife2018/.git/objects/83/
- modelDB_eLife2018/.git/objects/89/
- modelDB_eLife2018/.git/objects/8b/
- modelDB_eLife2018/.git/objects/8f/
- modelDB_eLife2018/.git/objects/91/
- modelDB_eLife2018/.git/objects/92/
- modelDB_eLife2018/.git/objects/93/
- modelDB_eLife2018/.git/objects/94/
- modelDB_eLife2018/.git/objects/97/
- modelDB_eLife2018/.git/objects/9e/
- modelDB_eLife2018/.git/objects/a0/
- modelDB_eLife2018/.git/objects/a1/
- modelDB_eLife2018/.git/objects/a3/
- modelDB_eLife2018/.git/objects/a4/
- modelDB_eLife2018/.git/objects/a6/
- modelDB_eLife2018/.git/objects/a7/
- modelDB_eLife2018/.git/objects/ad/
- modelDB_eLife2018/.git/objects/b6/
- modelDB_eLife2018/.git/objects/ba/
- modelDB_eLife2018/.git/objects/c1/
- modelDB_eLife2018/.git/objects/c3/
- modelDB_eLife2018/.git/objects/c6/
- modelDB_eLife2018/.git/objects/cb/
- modelDB_eLife2018/.git/objects/d1/
- modelDB_eLife2018/.git/objects/d2/
- modelDB_eLife2018/.git/objects/d6/
- modelDB_eLife2018/.git/objects/d7/
- modelDB_eLife2018/.git/objects/da/
- modelDB_eLife2018/.git/objects/e1/
- modelDB_eLife2018/.git/objects/e9/
- modelDB_eLife2018/.git/objects/eb/
- modelDB_eLife2018/.git/objects/f0/
- modelDB_eLife2018/.git/objects/f1/
- modelDB_eLife2018/.git/objects/f2/
- modelDB_eLife2018/.git/objects/fb/
- modelDB_eLife2018/.git/objects/info/
- modelDB_eLife2018/.git/objects/pack/
- modelDB_eLife2018/.git/refs/
- modelDB_eLife2018/.git/refs/heads/
- modelDB_eLife2018/.git/refs/remotes/
- modelDB_eLife2018/.git/refs/remotes/origin/
- modelDB_eLife2018/.git/refs/tags/
- modelDB_eLife2018/.tempScripts/
- modelDB_eLife2018/InOut/
- modelDB_eLife2018/MScell/
- modelDB_eLife2018/MScell/channels/
- modelDB_eLife2018/SimData/
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
- CaMKII_LTD_model/
- CaMKII_LTD_model/readme.fld/
Escape response latency in the Giant Fiber System of Drosophila melanogastor (Augustin et al 2019)
- AugustinEtAl2018/
- AugustinEtAl2018/channels/
Hippocampal Mossy Fiber bouton: presynaptic KV7 channel function (Martinello et al 2019)
- modeldb_Kv7_MFB/
Function and energy constrain neuronal biophysics in coincidence detection (Remme et al 2018)
- RemmeEtAl2018/
- RemmeEtAl2018/_lib/
Dopaminergic subtantia nigra neuron (Moubarak et al 2019)
- MoubarakEtAl2018/
- MoubarakEtAl2018/data/
Honey bee receptor and antennal lobe model (Chan et al 2018)
- ChanEtAl2018/
Compartmental differences in cAMP signaling pathways in hippocam. CA1 pyr. cells (Luczak et al 2017)
- LuczakEtAl2017/
Parameter optimization using CMA-ES (Jedrzejewski-Szmek et al 2018)
- Jedrzejewski-SzmekEtAl2018/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/ajustador/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/ajustador/helpers/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/ajustador/helpers/__init__.py
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/ajustador/test/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp0aoms7ui/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp0aoms7ui/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp1g_wx16p/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp1g_wx16p/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp21grsjaj/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp21grsjaj/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp23ltfoaf/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp23ltfoaf/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp24ph1b9x/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp24ph1b9x/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp2rnefsbn/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp2rnefsbn/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp44i7xt3p/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp44i7xt3p/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp4kk0_kys/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp4kk0_kys/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp5085a67p/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp5085a67p/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp5qtwxp9_/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp5qtwxp9_/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp82mqsho_/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp82mqsho_/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp8cerheqv/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp8cerheqv/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp8s2ff5qp/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmp8s2ff5qp/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpa6bc1xhj/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpa6bc1xhj/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpaf090x51/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpaf090x51/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpars7jtra/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpars7jtra/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpb5f7f3pt/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpb5f7f3pt/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpc0k4fo0f/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpc0k4fo0f/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpc1cxko94/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpc1cxko94/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpc29jk7k_/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpc29jk7k_/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpdfq7wm4a/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpdfq7wm4a/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpdmwua97h/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpdmwua97h/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpe0vymeb2/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpe0vymeb2/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpe5rgvoec/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpe5rgvoec/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpe_i8phhv/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpe_i8phhv/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpegt36267/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpegt36267/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpf7i8fq_g/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpf7i8fq_g/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpgaa33dgq/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpgaa33dgq/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpgpxwckwu/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpgpxwckwu/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpgxljw_15/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpgxljw_15/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphchvkrdd/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphchvkrdd/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphegtih6y/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphegtih6y/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphj9l08jk/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphj9l08jk/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphyt70y8w/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmphyt70y8w/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpi3iu93tq/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpi3iu93tq/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpi8l7iiq5/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpi8l7iiq5/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpipxtj2wd/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpipxtj2wd/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpje75b9yq/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpje75b9yq/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpjvd1pv4c/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpjvd1pv4c/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpktutjn3n/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpktutjn3n/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpl0xmldkb/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpl0xmldkb/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpl26szsuy/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpl26szsuy/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmplfsjg72j/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmplfsjg72j/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmplki2g871/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmplki2g871/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpmf5u76q9/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpmf5u76q9/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpmkcbu2ip/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpmkcbu2ip/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpmu6dvxet/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpmu6dvxet/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpno7zsk3x/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpno7zsk3x/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpnoc_io0k/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpnoc_io0k/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpntp4gpac/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpntp4gpac/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpnybtghhc/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpnybtghhc/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpoaw08926/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpoaw08926/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpqyr7qpv6/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpqyr7qpv6/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpr1p11iln/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpr1p11iln/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmprokap42u/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmprokap42u/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmprv0m11q1/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmprv0m11q1/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpsiqxok5e/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpsiqxok5e/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmptdb7620b/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmptdb7620b/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpthapfdw5/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpthapfdw5/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmptv1amf2e/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmptv1amf2e/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmptx145qld/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmptx145qld/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpu7m2n003/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpu7m2n003/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpua2oqq42/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpua2oqq42/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpuq6yo0vv/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpuq6yo0vv/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpv5bb73b6/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpv5bb73b6/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpv_44x6hr/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpv_44x6hr/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpvfwlztty/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpvfwlztty/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpwdigmhvj/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpwdigmhvj/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpwmlghnvy/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpwmlghnvy/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpwsqo_ltp/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpwsqo_ltp/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpx0ntcp5c/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpx0ntcp5c/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpx_1opavq/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpx_1opavq/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpxnnlaaru/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpxnnlaaru/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpyae8r03v/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpyae8r03v/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpzxksuh5l/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/quick-start-d1.fit/tmpzxksuh5l/.complete
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/static/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/static/recording/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/docs/static/recording/042811-6ivifcurves_Waves/
- Jedrzejewski-SzmekEtAl2018/ajustador-1.1/FrontNeuroinf/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/__init__.py
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/ca1/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/d1d2/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/ep/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/gp/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/gp_net/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/graph/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/graph/__init__.py
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/prototypes/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/prototypes/__init__.py
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/str_net/
- Jedrzejewski-SzmekEtAl2018/moose_nerp-1/moose_nerp/test/
Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo (Smith et al 2013)
- weblink/
A Computational Model for the Binocular Vector Disparity Estimation (Chessa & Solari 2018)
- HVdisparity_code/
Plasticity forms non-overlapping adjacent ON and OFF RFs in cortical neurons (Sollini et al 2018)
- SolliniEtAl2018/
Conductance-based model of rodent thoracic sympathetic postganglionic neuron (McKinnon et al 2019)
- tSPN_SIngleNeuron_2018/
Modelling gain modulation in stability-optimised circuits (Stroud et al 2018)
- StroudEtAl2018/
Human auditory periphery model: cochlea, IHC-AN, auditory brainstem responses (Verhulst et al 2018)
- Verhulstetal2018Model_v1.1/
- Verhulstetal2018Model_v1.1/doc/
CA1 network model for place cell dynamics (Turi et al 2019)
- Turi_et_al_2019/
- Turi_et_al_2019/ValidationTests/
- Turi_et_al_2019/cells/
- Turi_et_al_2019/cells/.Rhistory
- Turi_et_al_2019/mechanisms/
- Turi_et_al_2019/background_noise/
- Turi_et_al_2019/make_inputs_linear_track/
- Turi_et_al_2019/Simulation_Results/
- Turi_et_al_2019/AnalysisRawData/
PyPNS: Multiscale Simulation of a Peripheral Nerve in Python (Lubba et al 2018)
- weblink/
Stimulated and physiologically induced APs: frequency and fiber diameter (Sadashivaiah et al 2018)
- SadashivaiahEtAl2018/
Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018)
- Bulb_Piriform/
- Bulb_Piriform/Saved_Research/
Sharpness of spike initiation in neurons explained by compartmentalization (Brette 2013)
- weblink/
A model of neuronal bursting using three coupled first order diff. eqs. (Hindmarsh & Rose 1984)
- weblink/
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian)
- weblink/
Adaptive dual control of deep brain stimulation in Parkinsons disease simulations (Grado et al 2018)
- MFM_BayesADC_ModelDB/
- MFM_BayesADC_ModelDB/.git/
- MFM_BayesADC_ModelDB/.git/objects/
- MFM_BayesADC_ModelDB/.git/objects/67/
- MFM_BayesADC_ModelDB/.git/objects/93/
- MFM_BayesADC_ModelDB/.git/objects/a4/
- MFM_BayesADC_ModelDB/.git/objects/df/
- MFM_BayesADC_ModelDB/.git/objects/ae/
- MFM_BayesADC_ModelDB/.git/objects/d8/
- MFM_BayesADC_ModelDB/.git/objects/pack/
- MFM_BayesADC_ModelDB/.git/objects/28/
- MFM_BayesADC_ModelDB/.git/objects/4d/
- MFM_BayesADC_ModelDB/.git/objects/81/
- MFM_BayesADC_ModelDB/.git/objects/info/
- MFM_BayesADC_ModelDB/.git/objects/e7/
- MFM_BayesADC_ModelDB/.git/objects/4a/
- MFM_BayesADC_ModelDB/.git/objects/71/
- MFM_BayesADC_ModelDB/.git/objects/13/
- MFM_BayesADC_ModelDB/.git/info/
- MFM_BayesADC_ModelDB/.git/logs/
- MFM_BayesADC_ModelDB/.git/logs/refs/
- MFM_BayesADC_ModelDB/.git/logs/refs/heads/
- MFM_BayesADC_ModelDB/.git/hooks/
- MFM_BayesADC_ModelDB/.git/refs/
- MFM_BayesADC_ModelDB/.git/refs/heads/
- MFM_BayesADC_ModelDB/.git/refs/tags/
A phantom bursting mechanism for episodic bursting (Bertram et al 2008)
- weblink1/
- weblink1/xpp/
Respiratory pacemaker neurons (Butera et al 1999)
- weblink2/
An integrative dynamic model of brain energy metabolism (Coultier et al 2009)
- weblink3/
Ca2+ Oscillations in Sympathetic neurons (Friel 1995)
- weblink4/
Bursting in dopamine neurons (Li YX et al 1996)
- weblink5/
Dependence of neuronal firing on astroglial membrane transport mechanisms (Oyehaug et al 2012)
- weblink7/
Mechanisms of extraneuronal space shrinkage (Ostby et al 2009)
- weblink6/
Simulation of calcium signaling in fine astrocytic processes (Denizot et al 2019)
- DenizotEtAl_2019/
- DenizotEtAl_2019/Gillespie/
- DenizotEtAl_2019/ODE/
- DenizotEtAl_2019/Particle-based/
- DenizotEtAl_2019/STEPS/
Quantitative model of sleep-wake dynamics (Phillips & Robinson 2007)
- weblink8/
Sleep deprivation in the ascending arousal system (Phillips & Robinson 2008)
- weblink9/
Ionic current model of a Hypoglossal Motoneuron (Purvis & Butera 2005)
- weblink10/
Thalamocortical loop with delay for investigation of absence epilepsy (Liu et al 2019)
- TCRTCT/
Pacemaker neurons and respiratory rhythm generation (Purvis et al 2007)
- weblink11/
Universal feature of developing networks (Tabak et al 2010)
- weblink12/
Universal feature of developing networks (Tabak et al 2010) (CellML)
- weblink12a/
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (CellML)
- weblink13/
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (SBML)
- VasalouHenson2010weblink/
Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)
- allen/
Gamma genesis in the basolateral amygdala (Feng et al 2019)
- FengEtAl2019/
- FengEtAl2019/input/
Towards a biologically plausible model of LGN-V1 pathways (Lian et al 2019)
- LianEtAl2019/
Pancreatic Beta Cell signalling pathways (Fridlyand & Philipson 2016) (MATLAB)
- FridlyandPhilipson2016matlab/
Action potential-evoked Na+ influx similar in axon and soma (Fleidervish et al. 2010) (Python)
- fleidervish2010_py/
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
- PintoTM_2019_PLoSComputBiol/
- __MACOSX/
- __MACOSX/PintoTM_2019_PLoSComputBiol/
A computational model of action selection in the basal ganglia (Suryanarayana et al 2019)
- SuryanarayanaEtAl2019/
- SuryanarayanaEtAl2019/images/
Layer V pyramidal cell functions and schizophrenia genetics (Mäki-Marttunen et al 2019)
- l5pc_scz/
- l5pc_scz/hay/
- l5pc_scz/almog/
- l5pc_scz/hay/morphologies/
- l5pc_scz/hay/models/
- l5pc_scz/almog/cells/
Large-scale laminar model of macaque cortex (Mejias et al 2016)
- Mejias2016/
- Mejias2016/fig2/
- Mejias2016/fig3/
- Mejias2016/fig4/
- Mejias2016/fig4/a/
- Mejias2016/fig4/b/
- Mejias2016/fig5/
- Mejias2016/fig6/
Glutamate mediated dendritic and somatic plateau potentials in cortical L5 pyr cells (Gao et al '20)
- plateau-potentials/
- plateau-potentials/__init__.py
- plateau-potentials/mod/
- plateau-potentials/mod/x86_64/
- plateau-potentials/mod/x86_64/.libs/
Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity (Bono & Clopath 2019)
- Bono_Clopath2019/
- Bono_Clopath2019/Figure1_and_S1/
- Bono_Clopath2019/Figure1_and_S1/dat/
- Bono_Clopath2019/Figure1_and_S1/img/
- Bono_Clopath2019/Figure2_and_S1/
- Bono_Clopath2019/Figure2_and_S1/dat/
- Bono_Clopath2019/Figure2_and_S1/img/
- Bono_Clopath2019/Figure5a_d_SuppFig5a/
- Bono_Clopath2019/Figure5a_d_SuppFig5a/dat/
- Bono_Clopath2019/Figure5a_d_SuppFig5a/img/
- Bono_Clopath2019/Network_Figures/
- Bono_Clopath2019/Network_Figures/dat/
- Bono_Clopath2019/Network_Figures/img/
- Bono_Clopath2019/params/
- Bono_Clopath2019/SuppFig2/
- Bono_Clopath2019/SuppFig2/dat/
- Bono_Clopath2019/SuppFig2/img/
Modelling large scale electrodiffusion near morphologically detailed neurons (Solbra et al 2018)
- SolbraEtAl2018/
Four-pathway phenomenological synaptic plasticity model (Ebner et al. 2019)
- EbnerEtAl2019/
- EbnerEtAl2019/mod/
- EbnerEtAl2019/models/
- EbnerEtAl2019/morphologies/
Thalamocortical relay neuron models constrained by experiment and optimization (Iavarone et al 2019)
- IavaroneEtAl_PLOSCompBio2019/
- IavaroneEtAl_PLOSCompBio2019/morphologies/
- IavaroneEtAl_PLOSCompBio2019/mechanisms/
Factors contribution to GDP-induced [Cl-]i transients (Lombardi et al 2019)
- LombardiEtAl2019/
- LombardiEtAl2019/Real_Cell_Cl_HCO3_1GDP_Var-Cl-_tauNKCC1__Fig9/
- LombardiEtAl2019/Isolated_Dendrite_tauNKCC1__Fig9/
- LombardiEtAl2019/Real_Cell_Cl_HCO3_1GDP_Var-Cl-gGABA__Fig3/
- LombardiEtAl2019/Real_Cell_Cl_HCO3_1GDP_Var-Cl-gPas__Fig2/
- LombardiEtAl2019/Real_Cell_Dynamic_Cl_HCO3_1GDP/
- LombardiEtAl2019/Real_Cell_Cl_HCO3_1GDP_Var-Cl-pGABA_tauHCO3__Fig6u7/
- LombardiEtAl2019/Isolated_Dendrite_pH__Fig8/
- LombardiEtAl2019/Isolated_Dendrite_pGABA _HCO3__Fig5u7/
- LombardiEtAl2019/Real_Cell_Cl_HCO3_1GDP_Var-Cl-VDpas__Fig2g/
- LombardiEtAl2019/Isolated_Dendrite_tauGABA__Fig4/
- LombardiEtAl2019/Isolated_Dendrite_gPas__Fig1/
- LombardiEtAl2019/Real_Cell_Cl_HCO3_1GDP_Var-Cl_var-pH__Fig8/
- LombardiEtAl2019/Real_Cell_Cl_HCO3_1GDP_Var-Cl-tauGABA__Fig4/
- LombardiEtAl2019/Isolated_Dendrite_gGABA__Fig3/
Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017)
- BitnerEtAl2016/
Voltage imaging calibration in tuft dendrites of mitral cells (Djurisic et al 2004)
- DjurisicEtAl2004/
Dendritic action potentials and computation in human layer 2/3 cortical neurons (Gidon et al 2020)
- GidonEtAl2020_fig3andS9/
- GidonEtAl2020_fig3andS9/Fig3andS9/
- GidonEtAl2020_fig3andS9/_mod/
- GidonEtAl2020_fig3andS9/_classlib/
- GidonEtAl2020_fig3andS9/_morph/
Persistent Spiking in ACC Neurons (Ratte et al 2018)
- RatteEtAl2018/
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018)
- ManisCampagnola2018/
LGMD impedance (Dewell & Gabbiani 2019)
- DewellGabbiani2019/
- DewellGabbiani2019/mods/
- DewellGabbiani2019/library/
- DewellGabbiani2019/LGMD/
- DewellGabbiani2019/morphologies/
The basis of sharp spike onset in standard biophysical models (Telenczuk et al 2017)
- TelenczukEtAl2018/
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
- LuqueEtAl2019/
- LuqueEtAl2019/NEURON/
- LuqueEtAl2019/EDLUT/
- LuqueEtAl2019/EDLUT/Articulo purkinje/
- LuqueEtAl2019/EDLUT/Articulo purkinje/WORKING DIRECTORY/
- LuqueEtAl2019/EDLUT/Articulo purkinje/WORKING DIRECTORY/UNIX/
- LuqueEtAl2019/EDLUT/Articulo purkinje/WORKING DIRECTORY/WINDOWS/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/interface/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/interface/simulink/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/learning_rules/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/simulation/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/arm_robot_simulator/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/integration_method/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/neuron_model/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/spike/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/communication/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/include/openmp/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/m4/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/interface/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/interface/simulink/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/learning_rules/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/simulation/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/arm_robot_simulator/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/integration_method/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/neuron_model/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/spike/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/communication/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_B/src/openmp/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/interface/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/interface/simulink/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/learning_rules/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/simulation/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/arm_robot_simulator/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/integration_method/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/neuron_model/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/spike/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/communication/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/include/openmp/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/m4/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/interface/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/interface/simulink/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/learning_rules/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/simulation/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/arm_robot_simulator/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/integration_method/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/neuron_model/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/spike/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/communication/
- LuqueEtAl2019/EDLUT/Articulo purkinje/CASE_A/src/openmp/
CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2020)
- Shuman_et_al_2020/
- Shuman_et_al_2020/cells/
- Shuman_et_al_2020/make_inputs_linear_track/
- Shuman_et_al_2020/mechanisms/
- Shuman_et_al_2020/AnalysisRawData/
- Shuman_et_al_2020/Simulation_Results/
- Shuman_et_al_2020/background_noise/
Alleviating catastrophic forgetting: context gating and synaptic stabilization (Masse et al 2018)
- MasseEtAl2018/
The APP in C-terminal domain alters CA1 neuron firing (Pousinha et al 2019)
- PousinhaMouskaBianchiEtAl2019/
Bump Attractor Models: Delayed Response & Recognition Span - spatial condition (Ibanez et al 2019)
- DRT_DRSTmodels/
- DRT_DRSTmodels/images/
Modeling and MEG evidence of early consonance processing in auditory cortex (Tabas et al 2019)
- tdoch/
- tdoch/examples-from-the-paper/
Criticality,degeneracy in injury-induced changes in primary afferent excitability (Ratte et al 2014)
- RatteEtAl2014/
Origin of heterogeneous spiking patterns in spinal dorsal horn neurons (Balachandar & Prescott 2018)
- BalachandarPrescott2018/
DRG neuron models investigate how ion channel levels regulate firing properties (Zheng et al 2019)
- Deposit/
Circadian rhythmicity shapes astrocyte morphology and neuronal function in CA1 (McCauley et al 2020)
- modelDB-Migliore-Scimemi-2020/morph/
- modelDB-Migliore-Scimemi-2020/readme_file/
A cortico-cerebello-thalamo-cortical loop model under essential tremor (Zhang & Santaniello 2019)
- ZhangSantaniello2019/
- ZhangSantaniello2019/CCTC_model/
- ZhangSantaniello2019/CCTC_model/recordings/
- ZhangSantaniello2019/CCTC_model/recordings/NORM/
- ZhangSantaniello2019/CCTC_model/recordings/NORM/.keep
- ZhangSantaniello2019/CCTC_model/recordings/HARMALINE/
- ZhangSantaniello2019/CCTC_model/recordings/HARMALINE/.keep
- ZhangSantaniello2019/CCTC_model/recordings/ET_VimDBS/
- ZhangSantaniello2019/CCTC_model/recordings/ET_VimDBS/.keep
- ZhangSantaniello2019/CCTC_model/recordings/ET/
- ZhangSantaniello2019/CCTC_model/recordings/ET/.keep
- ZhangSantaniello2019/CCTC_model/modfiles/
- ZhangSantaniello2019/CCTC_model_scaleup/
- ZhangSantaniello2019/CCTC_model_scaleup/recordings/
- ZhangSantaniello2019/CCTC_model_scaleup/recordings/ET_scaleup/
- ZhangSantaniello2019/CCTC_model_scaleup/recordings/ET_scaleup/.keep
- ZhangSantaniello2019/CCTC_model_scaleup/recordings/NORM_scaleup/
- ZhangSantaniello2019/CCTC_model_scaleup/recordings/NORM_scaleup/.keep
- ZhangSantaniello2019/CCTC_model_scaleup/modfiles/
Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019)
- RubinSmith2019/
Learning spatiotemporal sequences using recurrent spiking NN that discretizes time (Maes et al 2020)
- ModelDbFinalCode/
- ModelDbFinalCode/Learning sequential dynamics/
- ModelDbFinalCode/Training read-out neurons/
- ModelDbFinalCode/Data and plotting/
An electrophysiological model of GABAergic double bouquet cells (Chrysanthidis et al. 2019)
- ChrysanthidisEtAl2019/
- ChrysanthidisEtAl2019/SIMULATION+PLOTTING/
- ChrysanthidisEtAl2019/SIMULATION+PLOTTING/DBC model/
- ChrysanthidisEtAl2019/SIMULATION+PLOTTING/Figure 2/
- ChrysanthidisEtAl2019/SIMULATION+PLOTTING/Figure 3B/
- ChrysanthidisEtAl2019/SIMULATION+PLOTTING/Figure 1C+3A/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/lib/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/lib/nest/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/share/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/share/nest/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/share/nest/sli/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/autom4te.cache/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/sli/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/libltdl/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/libltdl/m4/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/libltdl/loaders/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/libltdl/libltdl/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/module-100725/libltdl/config/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/build-module-100725/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/build-module-100725/libltdl/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/build-module-100725/libltdl/.deps/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/build-module-100725/.deps/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/build-module-100725/.libs/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/autom4te.cache/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/sli/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/autom4te.cache/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/sli/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/libltdl/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/libltdl/m4/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/libltdl/loaders/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/libltdl/libltdl/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/module-100725/libltdl/config/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/libltdl/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/libltdl/m4/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/libltdl/loaders/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/libltdl/libltdl/
- ChrysanthidisEtAl2019/BCPNN_NEST_Module/bootstrap-module-100725/libltdl/config/
Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018)
- KeaneEtAl2018/
Phenomenological models of NaV1.5: Hodgkin-Huxley and kinetic formalisms (Andreozzi et al 2019)
- ModelDB/
Optimal sparse olfactory representations persist in a plastic network (Assisi et al 2019)
- modelImplementation/
A computational model of oxytocin modulation of olfactory recognition memory (Linster & Kelsch 2019)
- LinsterKelsch2019/
Dendritic spine geometry, spine apparatus organization: spatiotemporal Ca dynamics (Bell et al 2019)
- BellEtAl2019/
Dynamics of sleep oscillations coupled to brain temperature on multiple scales (Csernai et al 2019)
- CsernaiEtAl2019/
Control of oscillations and spontaneous firing in dopamine neurons (Rumbell & Kozloski 2019)
- snc_da_rumbell_2019/
- snc_da_rumbell_2019/mechanisms/
- snc_da_rumbell_2019/data/
- snc_da_rumbell_2019/bluepyopt_ext/
- snc_da_rumbell_2019/bluepyopt_ext/ephys/
- snc_da_rumbell_2019/bluepyopt_ext/deap_ext/
- snc_da_rumbell_2019/bluepyopt_ext/deap_ext/tools/
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
- CA3modelCode_npjSchizophrenia_September2020--main/
- CA3modelCode_npjSchizophrenia_September2020--main/data/
- CA3modelCode_npjSchizophrenia_September2020--main/data/batch/
GLMCC validation neural network model (Kobayashi et al. 2019)
- GLMCC_validation_network/
LFP in striatum (Tanaka & Nakamura 2019)
- modeldb/
- __MACOSX/
- __MACOSX/modeldb/
- modeldb/morphologies/
- __MACOSX/modeldb/morphologies/
Reaching movements with robust or stochastic optimal control models (Crevecoeur et al 2019)
- CrevecoeurEtAl2019/
LCN-HippoModel: model of CA1 PCs deep-superficial theta firing dynamics (Navas-Olive et al 2020)
- LCNhippomodel/
- LCNhippomodel/LCNhm-channelmods/
- LCNhippomodel/LCNhm-neurondata/
- LCNhippomodel/LCNhm-results/
- LCNhippomodel/LCNhm-results/D20190910_T1405_test/
CA1 pyramidal neuron: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018)
- Alpha5_NMDA_CA1_pyr/
Single compartment: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018)
- Alpha5_NMDA_single_comp/
- Alpha5_NMDA_single_comp/shared/
A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
- HelferShultz2019/
- HelferShultz2019/ns/
- HelferShultz2019/ns/props/
- HelferShultz2019/include/
- HelferShultz2019/include/fmt/
- HelferShultz2019/lib/
ELL Medium Ganglion cell (Muller et al 2019)
- MullerEtAl2019/
Cycle skipping in ING Type 1 / Type 2 networks (Tikidji-Hamburyan & Canavier 2020)
- CycleSkipping-Type21/
Neural Interactome: interactive simulation of a neuronal system (Kim et al 2019)
- interactome/
Inhibitory microcircuits for top-down plasticity of sensory representations (Wilmes & Clopath 2019)
- WilmesClopath2019/
Inhibition perturbations reveals dynamical structure of neural processing (Sadeh & Clopath 2020)
- SpecificISNs/
- SpecificISNs/images/
Distinct integration properties of noisy inputs in active dendritic subunits (Poleg-Polsky 2019)
- sim_noise/
- sim_noise/images/
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
- WittmanEtAl2019/
- WittmanEtAl2019/3p/
- WittmanEtAl2019/clewley/
- WittmanEtAl2019/4p-r/
- WittmanEtAl2019/Matlab_scripts/
- WittmanEtAl2019/4p-e/
Dendritic action potentials and computation in human layer 2/3 cortical neurons (Gidon et al 2020)
- GidonEtAl2020_figS12/
- GidonEtAl2020_figS12/_mod/
- GidonEtAl2020_figS12/_classlib/
- GidonEtAl2020_figS12/FigS12/
Signal fidelity in the rostral nucleus of the solitary tract (Boxwell et al 2018)
- BoxwellEtAl2018/
Two populations of excitatory neurons in the superficial retrosplenial cortex (Brennan et al 2020)
- BrennanEtAl2020/
Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019)
- SomanEtAl2018/
- SomanEtAl2018/images/
Large scale neocortical model for PGENESIS (Crone et al 2019)
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_dataoutput/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron_x_neuron/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/gui/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/spatiallayout/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/chan/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/parameters/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/protospike/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/synchans/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/synapsedefs/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/raninput/
- Crone_et_al_Neocortex_Model_Frontiers_in_Neuroinformatics/config_neuron/protodefs/
Robust and tunable bursting requires slow positive feedback (Franci et al 2018)
- weblink/
Retinal ganglion cells responses and activity (Tsai et al 2012, Guo et al 2016)
- RGC_20120630_1826/
- RGC_20120630_1826/output/
- RGC_20120630_1826/neurolucida/
- RGC_20120630_1826/biophys/
- RGC_20120630_1826/scripts/
- RGC_20120630_1826/jobs/
- RGC_20120630_1826/regression/
- RGC_20120630_1826/mod/
- __MACOSX/
- __MACOSX/RGC_20120630_1826/
- __MACOSX/RGC_20120630_1826/mod/
How adaptation makes low firing rates robust (Sherman & Ha 2017)
- ShermanHa2017/
Neural field model to reconcile structure with function in V1 (Rankin & Chavane 2017)
- RankinChavane2017/
Mechanisms for pattern specificity of DBS in Parkinson's disease (Velarde et al 2017)
- VelardeEtAl2017/
Double cable myelinated axon (Layer 5 pyramidal neuron; Cohen et al 2020)
- CohenEtAl2020Cell6/
- CohenEtAl2020Cell6/outdir/
- CohenEtAl2020Cell6/act-SOAX-DCPARA.type
- CohenEtAl2020Cell6/lib/
- CohenEtAl2020Cell6/ses/
- CohenEtAl2020Cell6/outdir/pas-SOAX-DCPARA/
- CohenEtAl2020Cell6/outdir/act-SOAX-DCPARA/
Biochemically detailed model of LTP and LTD in a cortical spine (Maki-Marttunen et al 2020)
- synaptic/
- synaptic/NEURON/
- synaptic/NeuroRD/
- synaptic/L23PC/
- synaptic/NEURON/fitfiles/
- synaptic/L23PC/mechanisms/
- synaptic/L23PC/L23_PC_cADpyr229_2/
- synaptic/L23PC/L23_PC_cADpyr229_5/
- synaptic/L23PC/L23_PC_cADpyr229_4/
- synaptic/L23PC/L23_PC_cADpyr229_3/
- synaptic/L23PC/L23_PC_cADpyr229_1/
- synaptic/L23PC/L23_PC_cADpyr229_2/mechanisms/
- synaptic/L23PC/L23_PC_cADpyr229_2/synapses/
- synaptic/L23PC/L23_PC_cADpyr229_2/morphology/
- synaptic/L23PC/L23_PC_cADpyr229_2/python_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_2/hoc_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_5/mechanisms/
- synaptic/L23PC/L23_PC_cADpyr229_5/synapses/
- synaptic/L23PC/L23_PC_cADpyr229_5/morphology/
- synaptic/L23PC/L23_PC_cADpyr229_5/python_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_5/hoc_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_4/mechanisms/
- synaptic/L23PC/L23_PC_cADpyr229_4/synapses/
- synaptic/L23PC/L23_PC_cADpyr229_4/morphology/
- synaptic/L23PC/L23_PC_cADpyr229_4/python_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_4/hoc_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_3/mechanisms/
- synaptic/L23PC/L23_PC_cADpyr229_3/synapses/
- synaptic/L23PC/L23_PC_cADpyr229_3/morphology/
- synaptic/L23PC/L23_PC_cADpyr229_3/python_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_3/hoc_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_1/mechanisms/
- synaptic/L23PC/L23_PC_cADpyr229_1/synapses/
- synaptic/L23PC/L23_PC_cADpyr229_1/morphology/
- synaptic/L23PC/L23_PC_cADpyr229_1/python_recordings/
- synaptic/L23PC/L23_PC_cADpyr229_1/hoc_recordings/
Temperature sensitive axon models (DeMaegd & Stein 2020)
- Model/
- Model/All_conductances_all_axons/
- Model/All_conductances_all_axons/Diameter 12/
- Model/All_conductances_all_axons/Diameter 12/10 degrees/
- Model/All_conductances_all_axons/Diameter 12/15 degrees/
- Model/All_conductances_all_axons/Diameter 12/20 degrees/
- Model/All_conductances_all_axons/Diameter 12/25 degrees/
- Model/All_conductances_all_axons/Diameter 12/30 degrees/
- Model/All_conductances_all_axons/Diameter 12/5 degrees/
- Model/All_conductances_all_axons/Diameter 3/
- Model/All_conductances_all_axons/Diameter 3/10 degrees/
- Model/All_conductances_all_axons/Diameter 3/15 degrees/
- Model/All_conductances_all_axons/Diameter 3/20 degrees/
- Model/All_conductances_all_axons/Diameter 3/25 degrees/
- Model/All_conductances_all_axons/Diameter 3/30 degrees/
- Model/All_conductances_all_axons/Diameter 3/5 degrees/
- Model/All_conductances_all_axons/Diameter 6/
- Model/All_conductances_all_axons/Diameter 6/10 degrees/
- Model/All_conductances_all_axons/Diameter 6/15 degrees/
- Model/All_conductances_all_axons/Diameter 6/20 degrees/
- Model/All_conductances_all_axons/Diameter 6/25 degrees/
- Model/All_conductances_all_axons/Diameter 6/25 degrees/spot check/
- Model/All_conductances_all_axons/Diameter 6/25 degrees/spot check/new/
- Model/All_conductances_all_axons/Diameter 6/30 degrees/
- Model/All_conductances_all_axons/Diameter 6/5 degrees/
- Model/All_conductances_all_axons/GnuPlot/
- Model/All_conductances_all_axons/mod files/
- Model/All_conductances_single_axon/
- Model/All_conductances_single_axon/10 degrees/
- Model/All_conductances_single_axon/15 degrees/
- Model/All_conductances_single_axon/20 degrees/
- Model/All_conductances_single_axon/25 degrees/
- Model/All_conductances_single_axon/30 degrees/
- Model/All_conductances_single_axon/5 degrees/
- Model/All_conductances_single_axon/gnuplot/
- Model/All_conductances_single_axon/gnuplot/New folder/
- Model/All_conductances_single_axon/gnuplot/Q10/
- Model/All_conductances_single_axon/gnuplot/Velocity/
- Model/Single_conductance/
Reducing variability in motor cortex activity by GABA (Hoshino et al. 2019)
- Source/
ACnet23 primary auditory cortex model (Beeman et al 2019)
- ACnet23_Beeman_BMC_Neurosci2019/
Repetitive Action Potential Firing (Knowlton et al. 2020)
- ELS-phaseplane/
- ELS-phaseplane/netosc/
Peripheral nerve:Morris-Lecar implementation of (Schwarz et al 1995)
- nerve2d/
Mice Somatosensory L2/3 Pyramidal cells (Iascone et al 2020)
- IasconeEtAl2020/
- IasconeEtAl2020/model_files/
- IasconeEtAl2020/mod_files/
Striatal FSI and SPN oscillation model (Chartove et al. 2020)
- striatum-standalone/dynasim/
- striatum-standalone/dynasim/demos/
- striatum-standalone/dynasim/demos/devDemos/
- striatum-standalone/dynasim/demos/examples/
- striatum-standalone/dynasim/demos/examples/Multicompartment_PFC_neurons/
- striatum-standalone/dynasim/docs/
- striatum-standalone/dynasim/functions/
- striatum-standalone/dynasim/functions/dependencies/
- striatum-standalone/dynasim/functions/dependencies/altmany-export_fig-2763b78/
- striatum-standalone/dynasim/functions/dependencies/compareFigFiles/
- striatum-standalone/dynasim/functions/dependencies/Coverage/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/lib/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/lib/absolutepath/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/src/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/src/+edu/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/src/+edu/+stanford/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/src/+edu/+stanford/+covert/
- striatum-standalone/dynasim/functions/dependencies/Coverage/Coverage/src/+edu/+stanford/+covert/+test/
- striatum-standalone/dynasim/functions/dependencies/DataHash_20160618/
- striatum-standalone/dynasim/functions/dependencies/distinguishable_colors/
- striatum-standalone/dynasim/functions/dependencies/ear/
- striatum-standalone/dynasim/functions/dependencies/github-sync-matlab/
- striatum-standalone/dynasim/functions/dependencies/github-sync-matlab/private/
- striatum-standalone/dynasim/functions/dependencies/isfunction/
- striatum-standalone/dynasim/functions/dependencies/m2html/
- striatum-standalone/dynasim/functions/dependencies/m2html/@template/
- striatum-standalone/dynasim/functions/dependencies/m2html/@template/private/
- striatum-standalone/dynasim/functions/dependencies/m2html/private/
- striatum-standalone/dynasim/functions/dependencies/m2html/templates/
- striatum-standalone/dynasim/functions/dependencies/m2html/templates/3frames/
- striatum-standalone/dynasim/functions/dependencies/m2html/templates/blue/
- striatum-standalone/dynasim/functions/dependencies/m2html/templates/brain/
- striatum-standalone/dynasim/functions/dependencies/m2html/templates/frame/
- striatum-standalone/dynasim/functions/dependencies/MapN/
- striatum-standalone/dynasim/functions/dependencies/MDD/
- striatum-standalone/dynasim/functions/dependencies/MDD/classes/
- striatum-standalone/dynasim/functions/dependencies/MDD/classes/@nDDict/
- striatum-standalone/dynasim/functions/dependencies/MDD/classes/@xPlt/
- striatum-standalone/dynasim/functions/dependencies/MDD/dependencies/
- striatum-standalone/dynasim/functions/dependencies/MDD/dependencies/subplot_grid/
- striatum-standalone/dynasim/functions/dependencies/MDD/functions/
- striatum-standalone/dynasim/functions/dependencies/MDD/library_plots/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/classes/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/classes/@MDD/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/data/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/dependencies/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/dependencies/catstruct/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/dependencies/kakearney-boundedline-pkg-32f2a1f/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/dependencies/kakearney-boundedline-pkg-32f2a1f/boundedline/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/dependencies/kakearney-boundedline-pkg-32f2a1f/catuneven/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/dependencies/kakearney-boundedline-pkg-32f2a1f/singlepatch/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/dependencies/subplot_grid/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/functions/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/html/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/junk/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/library_plots/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/templates/
- striatum-standalone/dynasim/functions/dependencies/MDD_SM/working_progress/
- striatum-standalone/dynasim/functions/dependencies/mtit/
- striatum-standalone/dynasim/functions/dependencies/Octave/
- striatum-standalone/dynasim/functions/dependencies/subplot_grid/
- striatum-standalone/dynasim/functions/dependencies/tight_subplot/
- striatum-standalone/dynasim/functions/internal/
- striatum-standalone/dynasim/functions/internal/unit-test/
- striatum-standalone/dynasim/functions/internal/xp_libraries/
- striatum-standalone/dynasim/models/
- striatum-standalone/dynasim/models/striatal_mechanisms/
- striatum-standalone/dynasim/models/striatal_mechanisms/FSIdendMechs/
- striatum-standalone/dynasim/models/striatal_mechanisms/FSIsomaMechs/
- striatum-standalone/dynasim/models/striatal_mechanisms/inputPatterns/
- striatum-standalone/dynasim/models/striatal_mechanisms/MSNmechs/
- striatum-standalone/dynasim/models/striatal_mechanisms/synapseMechs/
- striatum-standalone/replicate_figures/
- striatum-standalone/replicate_figures/dependencies/
- striatum-standalone/replicate_figures/example_data/
- striatum-standalone/runfiles/
- striatum-standalone/statistics/
- striatum-standalone/statistics/fig1_stats/
- striatum-standalone/statistics/fig2_stats/
- striatum-standalone/statistics/fig3_stats/
- striatum-standalone/statistics/fig4567_stats/
- striatum-standalone/statistics/figs1_stats/
- striatum-standalone/statistics/figs2_stats/
- striatum-standalone/statistics/postprocessing/
Within movement adjustments of internal representations during reaching (Crevecoeur et al 2020)
- CrevecoeurEtAl2020/
Coding explains development of binocular vision and its failure in Amblyopia (Eckmann et al 2020)
- code/
- code/results/
- code/textures/
Computational model of the distributed representation of operant reward memory (Costa et al. 2020)
- CPG_Model_01_09_2020/B20/
- CPG_Model_01_09_2020/B30/
- CPG_Model_01_09_2020/B31/
- CPG_Model_01_09_2020/B34/
- CPG_Model_01_09_2020/B4/
- CPG_Model_01_09_2020/B40/
- CPG_Model_01_09_2020/B51/
- CPG_Model_01_09_2020/B52/
- CPG_Model_01_09_2020/B63/
- CPG_Model_01_09_2020/B64/
- CPG_Model_01_09_2020/B65/
- CPG_Model_01_09_2020/B8/
- CPG_Model_01_09_2020/CBI2/
- CPG_Model_01_09_2020/cs/
- CPG_Model_01_09_2020/es/
- CPG_Model_01_09_2020/ntw/
- CPG_Model_01_09_2020/ous/
- CPG_Model_01_09_2020/R/
- CPG_Model_01_09_2020/smu/
- CPG_Model_01_09_2020/trt/
Generation of stable heading representations in diverse visual scenes (Kim et al 2019)
- KimEtAl2019/
- KimEtAl2019/simple_result_W/
- KimEtAl2019/utils/
- KimEtAl2019/utils/circularStat/
Cortico - Basal Ganglia Loop (Mulcahy et al 2020)
- MulcahyEtAl2020/
- MulcahyEtAl2020/images/
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
- JacobEtAl2019/
- JacobEtAl2019/uniform/
- JacobEtAl2019/uniform/gaba.txt
- JacobEtAl2019/uniform/releasableglutamate.txt
- JacobEtAl2019/uniform/kconductance.txt
- JacobEtAl2019/uniform/releasedglutamate.txt
- JacobEtAl2019/uniform/availableglutamate.txt
- JacobEtAl2019/uniform/initialglutamatemap.txt
- JacobEtAl2019/uniform/potential.txt
- JacobEtAl2019/uniform/spikepatterns.txt
- JacobEtAl2019/uniform/glutamatemap.txt
- JacobEtAl2019/smallworld/
- JacobEtAl2019/scalefree/
- JacobEtAl2019/scalefree/1/
- JacobEtAl2019/scalefree/2/
- JacobEtAl2019/scalefree/5/
- JacobEtAl2019/scalefree/3/
- JacobEtAl2019/scalefree/4/
Basal Ganglia and Levodopa Pharmacodynamics model for parameter estimation in PD (Ursino et al 2020)
- Final programs/
- Final programs/graphic/
- Final programs/estimation/
- Final programs/training/
Tonic activation of extrasynaptic NMDA-R promotes bistability (Gall & Dupont 2020)
- GallDupont2019/
A Markov model of human Cav2.3 channels and their modulation by Zn2+ (Neumaier et al 2020)
- Cav23/
- Cav23/readme-Dateien/
Online learning model of olfactory bulb external plexiform layer network (Imam & Cleland 2020)
- OB_EPL/
- OB_EPL/data/
- OB_EPL/lib/
- OB_EPL/lib/__init__.py
Theoretical principles of DBS induced synaptic suppression (Farokhniaee & McIntyre 2019)
- Synapse_modelDB/
- Synapse_modelDB/images/
Effect of circuit structure on odor representation in insect olfaction (Rajagopalan & Assisi 2020)
- Code_eNeuro/
Decoding movement trajectory from simulated grid cell population activity (Bush & Burgess 2019)
- BushBurgess2020/
Graph-theoretical Derivation of Brain Structural Connectivity (Giacopelli et al 2020)
- Giacopelli_et_al_2020_ModelDB/
- Giacopelli_et_al_2020_ModelDB/readme_file/
Network model of movement disorders (Yousif et al 2020)
- YousifEtAl2020/
L5 cortical neurons with recreated synaptic inputs in vitro correlation transfer (Linaro et al 2019)
- gko_celltypes_correlation/
A computational model of single-neuron perturbations (Sadeh and Clopath 2020)
- Codes_SNP/
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
- Cortex_BasalGanglia_DBS_model/
- Cortex_BasalGanglia_DBS_model/Updated_PyNN_Files/
- Cortex_BasalGanglia_DBS_model/Updated_PyNN_Files/common/
- Cortex_BasalGanglia_DBS_model/Updated_PyNN_Files/neuron/
- Cortex_BasalGanglia_DBS_model/Updated_PyNN_Files/neuron/standardmodels/
Kesten and Langevin synaptic size fluctuation simulator (Hazan & Ziv 2020)
- Kesten_and_Langevin_Sims/
- Kesten_and_Langevin_Sims/images/
Mesoscopic model of spontaneous synaptic size fluctuations (Hazan & Ziv 2020)
- Mesoscopic_model/
The ventricular AP and effects of the isoproterenol-induced cardiac hypertrophy (Sengul et al 2020)
- Mathematical model of the rat ventricular myocytes/
Energy-efficient information transfer at thalamocortical synapses (Harris et al 2019)
- JolivetLab/
NN activity impact on neocortical pyr. neurons integrative properties in vivo (Destexhe & Pare 1999)
- demo_destexhe-pare-1999/
ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons (Bingham et al 2020)
- roots/
A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017)
- grid_origin-master/
- grid_origin-master/code/
Biophysical modeling of pathological brain states (Sudhakar et al 2019)
- Modeldb/
Recurrent amplification of grid-cell activity (D'Albis and Kempter 2020)
- grid_amplification/
- grid_amplification/.git/
- grid_amplification/grid_utils/
- grid_amplification/.git/logs/
- grid_amplification/.git/objects/
- grid_amplification/.git/info/
- grid_amplification/.git/branches/
- grid_amplification/.git/hooks/
- grid_amplification/.git/refs/
- grid_amplification/.git/logs/refs/
- grid_amplification/.git/objects/5a/
- grid_amplification/.git/objects/39/
- grid_amplification/.git/objects/db/
- grid_amplification/.git/objects/41/
- grid_amplification/.git/objects/70/
- grid_amplification/.git/objects/21/
- grid_amplification/.git/objects/14/
- grid_amplification/.git/objects/07/
- grid_amplification/.git/objects/de/
- grid_amplification/.git/objects/e1/
- grid_amplification/.git/objects/77/
- grid_amplification/.git/objects/63/
- grid_amplification/.git/objects/5e/
- grid_amplification/.git/objects/f1/
- grid_amplification/.git/objects/71/
- grid_amplification/.git/objects/80/
- grid_amplification/.git/objects/cb/
- grid_amplification/.git/objects/d4/
- grid_amplification/.git/objects/d5/
- grid_amplification/.git/objects/f5/
- grid_amplification/.git/objects/94/
- grid_amplification/.git/objects/b3/
- grid_amplification/.git/objects/d1/
- grid_amplification/.git/objects/62/
- grid_amplification/.git/objects/3d/
- grid_amplification/.git/objects/info/
- grid_amplification/.git/objects/pack/
- grid_amplification/.git/refs/remotes/
- grid_amplification/.git/refs/tags/
- grid_amplification/.git/refs/heads/
- grid_amplification/.git/logs/refs/heads/
- grid_amplification/.git/logs/refs/remotes/
- grid_amplification/.git/refs/remotes/origin/
- grid_amplification/.git/logs/refs/remotes/origin/
Biophysical basis of Subthalamic LFPs Recorded from DBS electrodes (Maling et al 2018)
- MalingEtAl2018/
Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons (Coggan et al 2018)
- CogganEtAl2018/
- CogganEtAl2018/orig/
Survey of electrically evoked responses in the retina (Tsai et al 2017)
- netConeHz/
Burst and tonic firing behaviour in subfornical organ (SFO) neurons (Medlock et al 2018)
- MedlockEtAl2018/
Computational modeling of ultrasonic Subthalamic Nucleus stimulation (Tarnaud et al 2019)
- 1. Tarnaud et al. (2018)/
A gap junction network of Amacrine Cells controls Nitric Oxide release (Jacoby et al 2018)
- JacobyEtAl2018/
Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab)
- GeminianiEtAl20182019ab/
Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex
- multi-area-model-master/
- multi-area-model-master/config_files/
- multi-area-model-master/figures/
- multi-area-model-master/figures/Schmidt2018/
- multi-area-model-master/figures/Schmidt2018/tex/
- multi-area-model-master/figures/Schmidt2018_dyn/
- multi-area-model-master/figures/Schmidt2018_dyn/Fig4_theory_data/
- multi-area-model-master/figures/Schmidt2018_dyn/Fig9_tex_files/
- multi-area-model-master/figures/SchueckerSchmidt2017/
- multi-area-model-master/multiarea_model/
- multi-area-model-master/multiarea_model/data_multiarea/
- multi-area-model-master/multiarea_model/data_multiarea/custom_data_files/
- multi-area-model-master/multiarea_model/data_multiarea/raw_data/
- multi-area-model-master/simulations/
- multi-area-model-master/tests/
Cellular function given parametric variation in the HH model of excitability (Ori et al 2018)
- OriEtAl2018/
Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
- XuEtAl2020/
Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020)
- mbnet/
- mbnet/analysis/
- mbnet/common/
- mbnet/mb/
- mbnet/mb/cell_templates/
- mbnet/mb/mod/
- mbnet/mb/network/
- mbnet/mb/slurm/
- mbnet/mb/slurm/circular_run/
- mbnet/mb/test_cell/
- mbnet/mb/__init__.py
- mbnet/morphutils/
- mbnet/nrn/
Evaluation of passive component of propagating AP in mossy fiber axons (Ohura & Kamiya 2018)
- OhuraKamiya2018/
- OhuraKamiya2018/images/
How BK and SK channels benefit early vision (Li X et al 2019)
- SK_Slo_Paper/
Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018)
- Epileptor-2/
- Epileptor-2/Python/
- Epileptor-2/Delphi-7/
- Epileptor-2/Javascript/
- Epileptor-2/WolframMathematica/
AMPA receptor trafficking and its role in heterosynaptic plasticity (Antunes et al 2018)
- AMPAR-trafficking-heterosynaptic-plasticity-master/
Cooling reverses pathological spontaneous firing caused by mild traumatic injury (Barlow et al 2018)
- BarlowEtAl2018/
- BarlowEtAl2018/images/
Drosophila circadian clock neurone model of essential tremor (Smith et al 2018)
- SmithEtAl2018EssentTremor/
Drosophila lateral ventral clock neuron (LNV) model (Smith et al 2019)
- LNVmodel files/
Mean-Field models of conductance-based NNs of spiking neurons with adaptation (di Volo et al 2019)
- mf/
- mf/data/
Somatodendritic consistency check for temporal feature segmentation (Asabuki & Fukai 2020)
- MRIL_codes/
Mean field model for Hodgkin Huxley networks of neurons (Carlu et al 2020)
- HH_project/
- HH_project/mean_field/
- HH_project/mean_field/__init__.py
- HH_project/single_cell_models/
- HH_project/single_cell_models/__init__.py
- HH_project/TF_calculus/
- HH_project/synapses_and_connectivity/
- HH_project/synapses_and_connectivity/__init__.py
- HH_project/transfer_functions/
- HH_project/transfer_functions/__init__.py
- HH_project/transfer_functions/data/
- HH_project/transfer_functions/data/__for_folder_creation
- HH_project/network_simulations/
- HH_project/network_simulations/__init__.py
- HH_project/network_simulations/data/
- HH_project/network_simulations/data/__for_folder_creation
Computational Modelling of TNFalpha Pathway in Parkinson's Disease (Sasidharakurup et al 2019)
- Sasidharakurp2019/
A neural mass model for critical assessment of brain connectivity (Ursino et al 2020)
- UrsinoEtAl2020/
Alpha rhythm in vitro visual cortex (Traub et al 2020)
- alpha_rhythm_code_RT/
Electrodecrements in in vitro model of infantile spasms (Traub et al 2020)
- plateauVFO11/
Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019)
- spatio-temporal-activity-sequence-master/
- spatio-temporal-activity-sequence-master/notebook/
- spatio-temporal-activity-sequence-master/notebook/lib/
- spatio-temporal-activity-sequence-master/scripts/
- spatio-temporal-activity-sequence-master/scripts/animation/
- spatio-temporal-activity-sequence-master/scripts/generation/
- spatio-temporal-activity-sequence-master/scripts/lib/
- spatio-temporal-activity-sequence-master/scripts/params/
- spatio-temporal-activity-sequence-master/scripts/plot/
- spatio-temporal-activity-sequence-master/scripts/simulation/
- spatio-temporal-activity-sequence-master/singularity/
Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks (Magalhaes et al 2019)
- MagalhaesEtAl2019/
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
- LIT_model/
Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016)
- PenaZaksRoque2018_code/
- PenaZaksRoque2018_code/code/
Cellular classes revealed by heartbeat-related modulation of extracellular APs (Mosher et al 2020)
- MosherEtAl2020/
Model of peripheral nerve with ephaptic coupling (Capllonch-Juan & Sepulveda 2020)
- publication_data/
- publication_data/dataset_01__fields/
- publication_data/dataset_01__fields/code/
- publication_data/dataset_01__fields/code/models/
- publication_data/dataset_01__fields/code/x86_64/
- publication_data/dataset_01__fields/code/data/
- publication_data/dataset_01__fields/code/data/load/
- publication_data/dataset_01__fields/code/data/results/
- publication_data/dataset_01__fields/code/data/results/images/
- publication_data/dataset_01__fields/code/src/
- publication_data/dataset_01__fields/code/src/mod/
- publication_data/dataset_01__fields/code/src/mod/MRG/
- publication_data/dataset_01__fields/code/src/mod/gaines_sensory/
- publication_data/dataset_01__fields/code/src/hoc/
- publication_data/dataset_01__fields/code/settings/
- publication_data/dataset_04__eph_stim_vs_dist/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/models/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/x86_64/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/data/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/data/load/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/data/results/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/data/results/images/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/src/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/src/mod/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/src/mod/MRG/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/src/mod/gaines_sensory/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/src/hoc/
- publication_data/dataset_04__eph_stim_vs_dist/fig9a/code/settings/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/models/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/x86_64/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/data/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/data/load/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/data/results/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/data/results/images/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/src/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/src/mod/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/src/mod/MRG/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/src/mod/gaines_sensory/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/src/hoc/
- publication_data/dataset_04__eph_stim_vs_dist/fig9b/code/settings/
- publication_data/dataset_03__propagation/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/models/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/x86_64/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/x86_64/.libs/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/data/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/data/load/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/data/results/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/data/results/images/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/src/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/src/mod/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/src/mod/MRG/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/src/mod/gaines_sensory/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/src/hoc/
- publication_data/dataset_03__propagation/bundle_2_nominalEC/settings/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/models/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/x86_64/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/x86_64/.libs/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/data/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/data/load/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/data/results/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/data/results/images/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/src/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/src/mod/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/src/mod/MRG/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/src/mod/gaines_sensory/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/src/hoc/
- publication_data/dataset_03__propagation/bundle_1_nominalEC/settings/
- publication_data/dataset_03__propagation/bundle_1_noEC/
- publication_data/dataset_03__propagation/bundle_1_noEC/models/
- publication_data/dataset_03__propagation/bundle_1_noEC/x86_64/
- publication_data/dataset_03__propagation/bundle_1_noEC/x86_64/.libs/
- publication_data/dataset_03__propagation/bundle_1_noEC/data/
- publication_data/dataset_03__propagation/bundle_1_noEC/data/load/
- publication_data/dataset_03__propagation/bundle_1_noEC/data/results/
- publication_data/dataset_03__propagation/bundle_1_noEC/data/results/images/
- publication_data/dataset_03__propagation/bundle_1_noEC/src/
- publication_data/dataset_03__propagation/bundle_1_noEC/src/mod/
- publication_data/dataset_03__propagation/bundle_1_noEC/src/mod/MRG/
- publication_data/dataset_03__propagation/bundle_1_noEC/src/mod/gaines_sensory/
- publication_data/dataset_03__propagation/bundle_1_noEC/src/hoc/
- publication_data/dataset_03__propagation/bundle_1_noEC/settings/
- publication_data/dataset_03__propagation/bundle_2_noEC/
- publication_data/dataset_03__propagation/bundle_2_noEC/models/
- publication_data/dataset_03__propagation/bundle_2_noEC/x86_64/
- publication_data/dataset_03__propagation/bundle_2_noEC/x86_64/.libs/
- publication_data/dataset_03__propagation/bundle_2_noEC/data/
- publication_data/dataset_03__propagation/bundle_2_noEC/data/load/
- publication_data/dataset_03__propagation/bundle_2_noEC/data/results/
- publication_data/dataset_03__propagation/bundle_2_noEC/data/results/images/
- publication_data/dataset_03__propagation/bundle_2_noEC/src/
- publication_data/dataset_03__propagation/bundle_2_noEC/src/mod/
- publication_data/dataset_03__propagation/bundle_2_noEC/src/mod/MRG/
- publication_data/dataset_03__propagation/bundle_2_noEC/src/mod/gaines_sensory/
- publication_data/dataset_03__propagation/bundle_2_noEC/src/hoc/
- publication_data/dataset_03__propagation/bundle_2_noEC/settings/
- publication_data/dataset_02__stimulation/
- publication_data/dataset_02__stimulation/noec/
- publication_data/dataset_02__stimulation/noec/code/
- publication_data/dataset_02__stimulation/noec/code/models/
- publication_data/dataset_02__stimulation/noec/code/x86_64/
- publication_data/dataset_02__stimulation/noec/code/x86_64/.libs/
- publication_data/dataset_02__stimulation/noec/code/data/
- publication_data/dataset_02__stimulation/noec/code/data/load/
- publication_data/dataset_02__stimulation/noec/code/data/results/
- publication_data/dataset_02__stimulation/noec/code/data/results/images/
- publication_data/dataset_02__stimulation/noec/code/src/
- publication_data/dataset_02__stimulation/noec/code/src/mod/
- publication_data/dataset_02__stimulation/noec/code/src/mod/MRG/
- publication_data/dataset_02__stimulation/noec/code/src/mod/gaines_sensory/
- publication_data/dataset_02__stimulation/noec/code/src/hoc/
- publication_data/dataset_02__stimulation/noec/code/settings/
- publication_data/dataset_02__stimulation/ec/
- publication_data/dataset_02__stimulation/ec/code/
- publication_data/dataset_02__stimulation/ec/code/models/
- publication_data/dataset_02__stimulation/ec/code/x86_64/
- publication_data/dataset_02__stimulation/ec/code/x86_64/.libs/
- publication_data/dataset_02__stimulation/ec/code/data/
- publication_data/dataset_02__stimulation/ec/code/data/load/
- publication_data/dataset_02__stimulation/ec/code/data/results/
- publication_data/dataset_02__stimulation/ec/code/data/results/images/
- publication_data/dataset_02__stimulation/ec/code/src/
- publication_data/dataset_02__stimulation/ec/code/src/mod/
- publication_data/dataset_02__stimulation/ec/code/src/mod/MRG/
- publication_data/dataset_02__stimulation/ec/code/src/mod/gaines_sensory/
- publication_data/dataset_02__stimulation/ec/code/src/hoc/
- publication_data/dataset_02__stimulation/ec/code/settings/
V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020)
- Meijer2020/
Action potential-evoked Ca2+ signals in CA1 pyramidal cell presynaptic terminals (Hamid et al 2019)
- McellModels/
- McellModels/Calbindin22_40uM_files/
- McellModels/Calbindin22_40uM_files/mcell/
- __MACOSX/
- __MACOSX/McellModels/
- __MACOSX/McellModels/Calbindin22_40uM_files/
- __MACOSX/McellModels/Calbindin22_40uM_files/mcell/
- McellModels/Calbindin31_40uM_files/
- McellModels/Calbindin31_40uM_files/mcell/
- __MACOSX/McellModels/Calbindin31_40uM_files/
- __MACOSX/McellModels/Calbindin31_40uM_files/mcell/
- McellModels/Calmodulin_40uM_files/
- McellModels/Calmodulin_40uM_files/mcell/
- __MACOSX/McellModels/Calmodulin_40uM_files/
- __MACOSX/McellModels/Calmodulin_40uM_files/mcell/
- McellModels/Paired_Pulses/
- McellModels/Paired_Pulses/mcell/
- __MACOSX/McellModels/Paired_Pulses/
- __MACOSX/McellModels/Paired_Pulses/mcell/
Spatial coupling tunes NMDA receptor responses via Ca2+ diffusion (Iacobucci and Popescu 2019)
- channelcoupling/
Fitting predictive coding to the neurophysiological data (Spratling 2019)
- pc_biological_fit/
MultiScale Optimized Neuronal Intramembrane Cavitation (SONIC) model (Lemaire et al. 2019)
- JNE1685/
A computational model of a small DRG neuron to explore pain (Verma et al. 2019, 2020)
- DRG_Codes/
- DRG_Codes/XPP/
- DRG_Codes/MATCONT/
Leech Heart Interneuron model (Sharma et al 2020)
- SharmaEtAl2020/
- SharmaEtAl2020/images/
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)
- simulations_JCNS_2018/
- simulations_JCNS_2018/simulation2/
- simulations_JCNS_2018/simulation3/
- simulations_JCNS_2018/simulation1/
Synaptic Impairment, Robustness of Excitatory NNs w/ Different Topologies (Mirzakhalili et al 2017)
- MirzakhaliliEtAl2017/
SCN1A gain-of-function in early infantile encephalopathy (Berecki et al 2019)
- modelDB_scn1a/
- modelDB_scn1a/mechanisms/
- modelDB_scn1a/morphologies/
- modelDB_scn1a/save/
Opposing roles for Na+/Ca2+ exchange and Ca2+-activated K+ currents during STDP (O`Halloran 2020)
- O_Halloran2020/
Neuromechanical Model of Rat Hindlimb Walking with Two-Layer CPGs (Deng et al, 2019)
- K_A wirh RG march 21/
- K_A wirh RG march 21/Back up/
- K_A wirh RG march 21/K&A synergy 1/
- K_A wirh RG march 21/K&A synergy 1/Back up/
Global and multiplexed dendritic computations under in vivo-like conditions (Ujfalussy et al 2018)
- UjfalussyEtAl2018_weblink/
Hippocampus CA1 Interneuron Specific 3 (IS3) in vivo-like virtual NN simulations (Luo et al 2020)
- LuoEtAl2020Code/
- LuoEtAl2020Code/SWR/
- LuoEtAl2020Code/SWR/SDprox2/
- LuoEtAl2020Code/SWR/SDprox2/PLOTfiles/
- LuoEtAl2020Code/SWR/SDprox2/NPYfiles/
- LuoEtAl2020Code/SWR/SDprox1/
- LuoEtAl2020Code/SWR/SDprox1/PLOTfiles/
- LuoEtAl2020Code/SWR/SDprox1/NPYfiles/
- LuoEtAl2020Code/Theta_DoubledInputs/
- LuoEtAl2020Code/Theta_DoubledInputs/SDprox2/
- LuoEtAl2020Code/Theta_DoubledInputs/SDprox2/PLOTfiles/
- LuoEtAl2020Code/Theta_DoubledInputs/SDprox2/NPYfiles/
- LuoEtAl2020Code/Theta_DoubledInputs/SDprox1/
- LuoEtAl2020Code/Theta_DoubledInputs/SDprox1/PLOTfiles/
- LuoEtAl2020Code/Theta_DoubledInputs/SDprox1/NPYfiles/
- LuoEtAl2020Code/Theta_NoiseTests/
- LuoEtAl2020Code/Theta_NoiseTests/SDprox2/
- LuoEtAl2020Code/Theta_NoiseTests/SDprox2/PLOTfiles/
- LuoEtAl2020Code/Theta_NoiseTests/SDprox2/NPYfiles/
- LuoEtAl2020Code/Theta_NoiseTests/SDprox1/
- LuoEtAl2020Code/Theta_NoiseTests/SDprox1/PLOTfiles/
- LuoEtAl2020Code/Theta_NoiseTests/SDprox1/NPYfiles/
- LuoEtAl2020Code/Theta/
- LuoEtAl2020Code/Theta/SDprox2/
- LuoEtAl2020Code/Theta/SDprox2/PLOTfiles/
- LuoEtAl2020Code/Theta/SDprox2/NPYfiles/
- LuoEtAl2020Code/Theta/SDprox1/
- LuoEtAl2020Code/Theta/SDprox1/PLOTfiles/
- LuoEtAl2020Code/Theta/SDprox1/NPYfiles/
- LuoEtAl2020Code/Theta_RemovedInputs/
- LuoEtAl2020Code/Theta_RemovedInputs/SDprox2/
- LuoEtAl2020Code/Theta_RemovedInputs/SDprox2/PLOTfiles/
- LuoEtAl2020Code/Theta_RemovedInputs/SDprox2/NPYfiles/
- LuoEtAl2020Code/Theta_RemovedInputs/SDprox1/
- LuoEtAl2020Code/Theta_RemovedInputs/SDprox1/PLOTfiles/
- LuoEtAl2020Code/Theta_RemovedInputs/SDprox1/NPYfiles/
Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020)
- CakanObermayer2020/
The microcircuits of striatum in silico (Hjorth et al 2020)
- HjorthEtAl2020/
Cerebellar granule cell (Masoli et al 2020)
- Granule_cell_2020/
- Granule_cell_2020/04_GrC_2020_accelerating/
- Granule_cell_2020/02_GrC_2020_mild_adapting/
- Granule_cell_2020/03_GrC_2020_adapting/
- Granule_cell_2020/01_GrC_2020_regular/
- Granule_cell_2020/04_GrC_2020_accelerating/morphology/
- Granule_cell_2020/04_GrC_2020_accelerating/protocols/
- Granule_cell_2020/04_GrC_2020_accelerating/mod_files/
- Granule_cell_2020/02_GrC_2020_mild_adapting/morphology/
- Granule_cell_2020/02_GrC_2020_mild_adapting/protocols/
- Granule_cell_2020/02_GrC_2020_mild_adapting/mod_files/
- Granule_cell_2020/03_GrC_2020_adapting/morphology/
- Granule_cell_2020/03_GrC_2020_adapting/protocols/
- Granule_cell_2020/03_GrC_2020_adapting/mod_files/
- Granule_cell_2020/01_GrC_2020_regular/morphology/
- Granule_cell_2020/01_GrC_2020_regular/protocols/
- Granule_cell_2020/01_GrC_2020_regular/mod_files/
Single-cell comprehensive biophysical model of SN pars compacta (Muddapu & Chakravarthy 2021)
- CSM_model/
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
- BillehEtAl2020/
NeuroMatic: software for acquisition, analysis and simulation of e-phys data (Rothman & Silver 2018)
- RothmanSilver2018/
Cholinergic and nicotinic regulation of DA neuron firing (Morozova et al 2020)
- modelDB_NicandACh/
Inhibitory network bistability explains increased activity prior to seizure onset (Rich et al 2020)
- CorticalInhibitoryNetwork-master/
Electrical compartmentalization in neurons (Wybo et al 2019)
- WyboEtAl2019/
Neural recruitment during synchronous multichannel microstimulation (Hokanson et al 2018)
- HokansonEtAl2018/
Beta-cell hubs maintain Ca2+ oscillations in human and mouse islet simulations (Lei et al 2018)
- LeiEtAl2018/
Excitation Properties of Computational Models of Unmyelinated Peripheral Axons (Pelot et al., 2021)
- PelotEtAl_JNP_2020_Models/
- PelotEtAl_JNP_2020_Models/MultiCompartmentModels/
- PelotEtAl_JNP_2020_Models/MultiCompartmentModels/hoc/
- PelotEtAl_JNP_2020_Models/MultiCompartmentModels/Conductances/
- PelotEtAl_JNP_2020_Models/MultiCompartmentModels/Matlab/
- PelotEtAl_JNP_2020_Models/MultiCompartmentModels/Mod/
- PelotEtAl_JNP_2020_Models/SingleCompartmentModels/
- PelotEtAl_JNP_2020_Models/SingleCompartmentModels/hoc/
- PelotEtAl_JNP_2020_Models/SingleCompartmentModels/MATLAB/
- PelotEtAl_JNP_2020_Models/SingleCompartmentModels/mod_Vclamp/
- PelotEtAl_JNP_2020_Models/SingleCompartmentModels/Brian/
- PelotEtAl_JNP_2020_Models/SingleCompartmentModels/mod/
On the structural connectivity of large-scale models of brain networks (Giacopelli et al 2021)
- release/Brunel/
- release/Diesmann/
- release/Markram/
- release/readme_file/
Kernel method to calculate LFPs from networks of point neurons (Telenczuk et al 2020)
- demo_kernel/
Combining modeling, deep learning for MEA neuron localization, classification (Buccino et al 2018)
- BuccinoEtAl2018/
A model for focal seizure onset, propagation, evolution, and progression (Liou et al 2020)
- LiouEtAl2020/
Dynamical assessment of ion channels during in vivo-like states (Guet-McCreight & Skinner 2020)
- Guet-McCreightSkinner2020/
Two forms of synaptic depression by neuromodulation of presynaptic Ca2+ channels (Burke et al 2018)
- BurkeEtAl2018/
Interplay between somatic and dendritic inhibition promotes place fields (Pedrosa & Clopath 2020)
- Pedrosa_Clopath_2020/
- Pedrosa_Clopath_2020/Figures/
Stochastic Hodgkin-Huxley Model: 14x28D Langevin Simulation (Pu and Thomas, 2020).
- PuThomas2020NECO_for_ModelDB/
- PuThomas2020NECO_for_ModelDB/Figure5/
- PuThomas2020NECO_for_ModelDB/Figure2/
- PuThomas2020NECO_for_ModelDB/Figure3/
- PuThomas2020NECO_for_ModelDB/Figure4/
- PuThomas2020NECO_for_ModelDB/All_models/
- PuThomas2020NECO_for_ModelDB/Figure6/
Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019)
- fmr1/
Entrainment and divisive inhibition in a neocortical neural mass model (Papasavvas et al 2020)
- PapasavvasEtAl2020/
Binocular energy model set for binocular neurons in optic lobe of praying mantis (Rosner et al 2019)
- ModelDBCode/
Wilson-Cowan Network with Homeostatic Plasticity (Nicola and Campbell 2021)
- FIGURE 2 GRAPHS/ERDOS RENYI/
- FIGURE 2 GRAPHS/LATTICE/
- FIGURE 2 GRAPHS/RING/
- FIGURE 2 GRAPHS/SMALL WORLD/
- FIGURE 2 GRAPHS/WEAK COUPLING/
Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020)
- MaEtAl2020/
Model of generalized periodic discharges in acute hepatic encephalopathy (Song et al 2019)
- SongEtAl2019/
Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019)
- MuscinelliEtAl2019/
BK Channels Promote Bursting in Pituitary Cells (Tabak et al 2011)
- TabakEtAl2011/
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
- HEM/
Apical Length Governs Computational Diversity of Layer 5 Pyramidal Neurons (Galloni et al 2020)
- GalloniEtAl2020/
Brainstem circuits controlling locomotor frequency and gait (Ausborn et al 2019)
- AusbornEtAl2019/
Core respiratory network organization: Insights from optogenetics and modeling (Ausborn et al 2018)
- AusbornEtAl2018/
Cerebellar stellate cells: changes in threshold, latency and frequency of firing (Mitry et al 2020)
- MitryEtAl2020/
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
- PetersonVoytek2020/
Markovian model for SCN8A-encoded channel (Kuo et al 2020)
- Sesamin-NaV-Model/
A model of closed-loop motor unit including muscle spindle feedback (Kim, 2020)
- Kim2020/
- Kim2020/fig3_5_7/
- Kim2020/fig8/
- Kim2020/fig2_4_6/
- Kim2020/fig9/
E-I-E direction-selective motion discrimination visual cortex traveling waves (Heitmann et al 2020)
- opponentmotion/
Sequence learning via biophysically realistic learning rules (Cone and Shouval 2021)
- Final Code for Sequence Project - new/
- Final Code for Sequence Project - new/Non-Markovian/
- Final Code for Sequence Project - new/Markovian A2A/
- Final Code for Sequence Project - new/Markovian FF - outdated see changelog/
Library of biophysically detailed striatal projection neurons (Lindroos and Hellgren Kotaleski 2020)
- lib/
- lib/mechanisms/
- lib/Morphologies/
- lib/Libraries/
- lib/mechanisms/network/
- lib/mechanisms/single/
- lib/mechanisms/network/no_mod/
Modeling a Nociceptive Neuro-Immune Synapse Activated by ATP and 5-HT in Meninges (Suleimanova et al., 2020)
- nociception_modeling/
- nociception_modeling/mod/
Syn Plasticity Regulation + Information Processing in Neuron-Astrocyte Networks (Vuillaume et al 21)
- vuillaume_study/
Healthy and Epileptic Hippocampal Circuit (Aussel et al 2022)
- model_hipp_final/model_files/
Human tactile FA1 neurons (Hay and Pruszynski 2020)
- Hay2020/data/
- Hay2020/models/
Purkinje neuron network (Zang et al. 2020)
- PRC_network_code/
- PRC_network_code/figure5/
- PRC_network_code/figure2/
- PRC_network_code/figure3/
- PRC_network_code/figure4/
- PRC_network_code/figure1/
- PRC_network_code/figure6/
- PRC_network_code/figure5/boundedline/
- PRC_network_code/figure5/legendflex/
- PRC_network_code/figure5/export_fig/
- PRC_network_code/figure2/figure2B/
- PRC_network_code/figure2/figure2C/
- PRC_network_code/figure3/mod/
- PRC_network_code/figure4/mod/
- PRC_network_code/figure1/mod/
- PRC_network_code/figure1/simdata/
- PRC_network_code/figure6/mod/
- PRC_network_code/figure5/legendflex/setgetpos_V1.2/
- PRC_network_code/figure5/export_fig/resources/
- PRC_network_code/figure5/export_fig/.ignore/
- PRC_network_code/figure2/figure2B/mod/
- PRC_network_code/figure2/figure2C/mod/
- PRC_network_code/figure2/figure2C/simdata/
- PRC_network_code/figure1/simdata/amp/
- PRC_network_code/figure5/export_fig/resources/project/
- PRC_network_code/figure2/figure2C/simdata/cur/
- PRC_network_code/figure5/export_fig/resources/project/Root.type.Files/
- PRC_network_code/figure5/export_fig/resources/project/Root.type.ProjectPath/
- PRC_network_code/figure5/export_fig/resources/project/Extensions.type.Root/
- PRC_network_code/figure5/export_fig/resources/project/Root.type.Categories/
- PRC_network_code/figure5/export_fig/resources/project/Extensions.type.Root/DependencyAnalysis.type.Extension/
- PRC_network_code/figure5/export_fig/resources/project/Root.type.Categories/FileClassCategory.type.Category/
Self-organization of cortical areas in development and evolution of neocortex (Imam & Finlay 2021)
- modelDB-cortexGrowth/
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
- nmda_models/
- nmda_models/Figure_6_CA3/
- __MACOSX/
- __MACOSX/nmda_models/
- __MACOSX/nmda_models/Figure_6_CA3/
- nmda_models/Figure_2_synaptic_thresholds/
- __MACOSX/nmda_models/Figure_2_synaptic_thresholds/
- nmda_models/Figure_1_single_EPSPs/
- __MACOSX/nmda_models/Figure_1_single_EPSPs/
- nmda_models/Figure_3_200um_on_BigNeuron/
- __MACOSX/nmda_models/Figure_3_200um_on_BigNeuron/
- nmda_models/Figure_4_and_5_modified conductances/
- __MACOSX/nmda_models/Figure_4_and_5_modified conductances/
- nmda_models/Figure_7_variable_gAMPA/
- __MACOSX/nmda_models/Figure_7_variable_gAMPA/
- nmda_models/Figure_6_DGC/
- __MACOSX/nmda_models/Figure_6_DGC/
Cerebellar Golgi cells, dendritic processing, and synaptic plasticity (Masoli et al 2020)
- Golgi_cell_2020/
- Golgi_cell_2020/Morphology_1/
- Golgi_cell_2020/Morphology_1/mod_files/
- Golgi_cell_2020/Morphology_1/morphology/
- Golgi_cell_2020/Morphology_1/protocols/
- Golgi_cell_2020/Morphology_2/
- Golgi_cell_2020/Morphology_2/mod_files/
- Golgi_cell_2020/Morphology_2/morphology/
- Golgi_cell_2020/Morphology_2/protocols/
Striatum D1 Striosome and Matrix Upstates (Prager et al., 2020)
- NSGUpstate/
- NSGUpstate/moose_nerp/
- NSGUpstate/moose_nerp/D1MatrixSample2/
- NSGUpstate/moose_nerp/D1MatrixSample2/__pycache__/
- NSGUpstate/moose_nerp/test/
- NSGUpstate/moose_nerp/test/__pycache__/
- NSGUpstate/moose_nerp/d1d2/
- NSGUpstate/moose_nerp/d1d2/conductance_save/
- NSGUpstate/moose_nerp/d1d2/tests.log
- NSGUpstate/moose_nerp/d1d2/__pycache__/
- NSGUpstate/moose_nerp/D1PatchSample4/
- NSGUpstate/moose_nerp/D1PatchSample4/__pycache__/
- NSGUpstate/moose_nerp/.vscode/
- NSGUpstate/moose_nerp/prototypes/
- NSGUpstate/moose_nerp/prototypes/tests.log
- NSGUpstate/moose_nerp/prototypes/__pycache__/
- NSGUpstate/moose_nerp/prototypes/__init__.py
- NSGUpstate/moose_nerp/squid/
- NSGUpstate/moose_nerp/squid/param_varients/
- NSGUpstate/moose_nerp/squid/__pycache__/
- NSGUpstate/moose_nerp/d1patchsample2/
- NSGUpstate/moose_nerp/d1patchsample2/conductance_save/
- NSGUpstate/moose_nerp/d1patchsample2/__pycache__/
- NSGUpstate/moose_nerp/gp/
- NSGUpstate/moose_nerp/gp/__pycache__/
- NSGUpstate/moose_nerp/gp_net/
- NSGUpstate/moose_nerp/gp_net/__pycache__/
- NSGUpstate/moose_nerp/graph/
- NSGUpstate/moose_nerp/graph/__pycache__/
- NSGUpstate/moose_nerp/graph/__init__.py
- NSGUpstate/moose_nerp/.spyproject/
- NSGUpstate/moose_nerp/ca1/
- NSGUpstate/moose_nerp/ca1/__pycache__/
- NSGUpstate/moose_nerp/tests.log
- NSGUpstate/moose_nerp/ep/
- NSGUpstate/moose_nerp/ep/__pycache__/
- NSGUpstate/moose_nerp/d1matrixsample2/
- NSGUpstate/moose_nerp/d1matrixsample2/D1_long_matrixout.p
- NSGUpstate/moose_nerp/d1opt/
- NSGUpstate/moose_nerp/d1opt/tests.log
- NSGUpstate/moose_nerp/d1opt/__pycache__/
- NSGUpstate/moose_nerp/D1PatchSample5OLD/
- NSGUpstate/moose_nerp/D1PatchSample5OLD/__pycache__/
- NSGUpstate/moose_nerp/D1PatchSample5/
- NSGUpstate/moose_nerp/D1PatchSample5/__pycache__/
- NSGUpstate/moose_nerp/d1d2_nml2_compare/
- NSGUpstate/moose_nerp/__pycache__/
- NSGUpstate/moose_nerp/D1MatrixSample3/
- NSGUpstate/moose_nerp/D1MatrixSample3/__pycache__/
- NSGUpstate/moose_nerp/__init__.py
- NSGUpstate/moose_nerp/ep_net/
- NSGUpstate/moose_nerp/ep_net/__pycache__/
- NSGUpstate/moose_nerp/str_net/
- NSGUpstate/moose_nerp/str_net/tests.log
- NSGUpstate/moose_nerp/str_net/__pycache__/
- NSGUpstate/moose_nerp/scripts/
- NSGUpstate/moose_nerp/scripts/__pycache__/
- NSGUpstate/moose_nerp/scripts/__init__.py
- NSGUpstate/moose/
- NSGUpstate/moose/chemUtil/
- NSGUpstate/moose/chemUtil/__pycache__/
- NSGUpstate/moose/neuroml/
- NSGUpstate/moose/neuroml/__pycache__/
- NSGUpstate/moose/SBML/
- NSGUpstate/moose/SBML/__pycache__/
- NSGUpstate/moose/genesis/
- NSGUpstate/moose/genesis/__pycache__/
- NSGUpstate/moose/chemMerge/
- NSGUpstate/moose/chemMerge/__pycache__/
- NSGUpstate/moose/neuroml2/
- NSGUpstate/moose/neuroml2/schema/
- NSGUpstate/moose/neuroml2/__pycache__/
- NSGUpstate/moose/__pycache__/
- NSGUpstate/__pycache__/
- NSGUpstate/NSGOpt/
- NSGUpstate/NSGOpt/output/
- NSGUpstate/NSGOpt/output/tmp/
- NSGUpstate/NSGOpt/.vscode/
- NSGUpstate/NSGOpt/.ipynb_checkpoints/
- NSGUpstate/NSGOpt/ajustador/
- NSGUpstate/NSGOpt/ajustador/.vscode/
- NSGUpstate/NSGOpt/ajustador/test/
- NSGUpstate/NSGOpt/ajustador/__pycache__/
- NSGUpstate/NSGOpt/ajustador/helpers/
- NSGUpstate/NSGOpt/ajustador/helpers/copy_param/
- NSGUpstate/NSGOpt/ajustador/helpers/copy_param/__pycache__/
- NSGUpstate/NSGOpt/ajustador/helpers/__pycache__/
- NSGUpstate/NSGOpt/ajustador/helpers/__init__.py
- NSGUpstate/NSGOpt/moose/
- NSGUpstate/NSGOpt/moose/neuroml/
- NSGUpstate/NSGOpt/moose/neuroml/__pycache__/
- NSGUpstate/NSGOpt/moose/genesis/
- NSGUpstate/NSGOpt/moose/genesis/__pycache__/
- NSGUpstate/NSGOpt/moose/chemMerge/
- NSGUpstate/NSGOpt/moose/chemMerge/__pycache__/
- NSGUpstate/NSGOpt/moose/chemUtil/
- NSGUpstate/NSGOpt/moose/chemUtil/__pycache__/
- NSGUpstate/NSGOpt/moose/__pycache__/
- NSGUpstate/NSGOpt/moose/SBML/
- NSGUpstate/NSGOpt/moose/SBML/__pycache__/
- NSGUpstate/NSGOpt/moose/neuroml2/
- NSGUpstate/NSGOpt/moose/neuroml2/schema/
- NSGUpstate/NSGOpt/moose/neuroml2/__pycache__/
- NSGUpstate/NSGOpt/dill/
- NSGUpstate/NSGOpt/dill/tests/
- NSGUpstate/NSGOpt/dill/tests/__pycache__/
- NSGUpstate/NSGOpt/dill/__pycache__/
- NSGUpstate/NSGOpt/__pycache__/
- NSGUpstate/NSGOpt/PlotkinD1PatchMatrixWaves/
- NSGUpstate/NSGOpt/igor/
- NSGUpstate/NSGOpt/igor/record/
- NSGUpstate/NSGOpt/igor/record/__pycache__/
- NSGUpstate/NSGOpt/igor/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/
- NSGUpstate/NSGOpt/moose_nerp/prototypes/
- NSGUpstate/NSGOpt/moose_nerp/prototypes/tests.log
- NSGUpstate/NSGOpt/moose_nerp/prototypes/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/prototypes/__init__.py
- NSGUpstate/NSGOpt/moose_nerp/squid/
- NSGUpstate/NSGOpt/moose_nerp/squid/param_varients/
- NSGUpstate/NSGOpt/moose_nerp/squid/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/graph/
- NSGUpstate/NSGOpt/moose_nerp/graph/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/graph/__init__.py
- NSGUpstate/NSGOpt/moose_nerp/.spyproject/
- NSGUpstate/NSGOpt/moose_nerp/d1opt/
- NSGUpstate/NSGOpt/moose_nerp/d1opt/tests.log
- NSGUpstate/NSGOpt/moose_nerp/d1opt/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/d1d2/
- NSGUpstate/NSGOpt/moose_nerp/d1d2/tests.log
- NSGUpstate/NSGOpt/moose_nerp/d1d2/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/d1d2/conductance_save/
- NSGUpstate/NSGOpt/moose_nerp/D1MatrixSample3/
- NSGUpstate/NSGOpt/moose_nerp/D1MatrixSample3/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/scripts/
- NSGUpstate/NSGOpt/moose_nerp/scripts/__init__.py
- NSGUpstate/NSGOpt/moose_nerp/ep/
- NSGUpstate/NSGOpt/moose_nerp/ep/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/gp_net/
- NSGUpstate/NSGOpt/moose_nerp/gp_net/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/str_net/
- NSGUpstate/NSGOpt/moose_nerp/str_net/tests.log
- NSGUpstate/NSGOpt/moose_nerp/str_net/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/d1d2_nml2_compare/
- NSGUpstate/NSGOpt/moose_nerp/tests.log
- NSGUpstate/NSGOpt/moose_nerp/ep_net/
- NSGUpstate/NSGOpt/moose_nerp/ep_net/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/test/
- NSGUpstate/NSGOpt/moose_nerp/test/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/d1matrixsample2/
- NSGUpstate/NSGOpt/moose_nerp/d1matrixsample2/D1_long_matrixout.p
- NSGUpstate/NSGOpt/moose_nerp/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/__init__.py
- NSGUpstate/NSGOpt/moose_nerp/ca1/
- NSGUpstate/NSGOpt/moose_nerp/ca1/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/d1patchsample2/
- NSGUpstate/NSGOpt/moose_nerp/d1patchsample2/__pycache__/
- NSGUpstate/NSGOpt/moose_nerp/d1patchsample2/conductance_save/
- NSGUpstate/NSGOpt/moose_nerp/gp/
- NSGUpstate/NSGOpt/moose_nerp/gp/__pycache__/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/test/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/__pycache__/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/helpers/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/helpers/copy_param/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/helpers/copy_param/__pycache__/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/helpers/__pycache__/
- NSGUpstate/NSGOpt/nsg_opt_ajustador_old/helpers/__init__.py
- NSGUpstate/analysis/
Maximal firing rate in midbrain dopamine neurons (Knowlton et al., 2021)
- depblock_mdb/
FHF2KO and Wild-Type Mouse Cardiomyocyte Strands (Park et al 2020)
- Ventricular_GUI.CircRes.ModelDB/
- Ventricular_GUI.CircRes.ModelDB/README_file/
- Ventricular_GUI.CircRes.ModelDB/original_params/
- Ventricular_GUI.CircRes.ModelDB/hoc_tools/
A synapse model for developing somatosensory cortex (Manninen et al 2020)
- TiinaManninen_ModelDB/
Coincident glutamatergic depolarization effects on Cl- dynamics (Lombardi et al, 2021)
- _For Zip -Neuron-Models_AMPA-GABA/Essential_Elements/
- _For Zip -Neuron-Models_AMPA-GABA/Fig1_Diplay-Traces/
- _For Zip -Neuron-Models_AMPA-GABA/Fig2_Ball-Stick_var-gAMPA/
- _For Zip -Neuron-Models_AMPA-GABA/Fig3a-d_Ball-Stick_var-tauAMPA/
- _For Zip -Neuron-Models_AMPA-GABA/Fig3e_Ball-stick_NMDA_Effect/
- _For Zip -Neuron-Models_AMPA-GABA/Fig3f-h_Ball-stick_AP_Effect/
- _For Zip -Neuron-Models_AMPA-GABA/Fig4_Ball-stick_spatial-relation/
- _For Zip -Neuron-Models_AMPA-GABA/Fig5_Ball-stick_temp-Rel/
- _For Zip -Neuron-Models_AMPA-GABA/Fig6a-c_Ball-stick_temp-Rel_var-tauAMPA_var-tauGABA/
- _For Zip -Neuron-Models_AMPA-GABA/Fig6de_Ball-stick_tonic_GABA/
- _For Zip -Neuron-Models_AMPA-GABA/Fig7_e-h_Real_Cell_Cl_1GDP_Var-Cl-var-gAMPA/
- _For Zip -Neuron-Models_AMPA-GABA/Fig7cd_Real_Cell_GDP_one for display/
- _For Zip -Neuron-Models_AMPA-GABA/Fig8_Real_Cell_Cl_1GDP_Var-Cl-var-tauAMPA/
- _For Zip -Neuron-Models_AMPA-GABA/Fig9ab_Real_Cell_Cl_1GDP_Var-Cl-var-SpatialCorr/
- _For Zip -Neuron-Models_AMPA-GABA/Fig9c-f_Real_Cell_Cl_1GDP_Var-Cl-var-TempCorr/
- _For Zip -Neuron-Models_AMPA-GABA/Suppl1_Ball-stick_var-tau-membr/
- _For Zip -Neuron-Models_AMPA-GABA/Suppl3_Real_Cell_Cl_1GDP_tonicGABA_Var_Cl_var-gAMPA/
- _For Zip -Neuron-Models_AMPA-GABA/Suppl4_Real_Cell_Cl_1GDP_Var-Cl-var-gNMDA/
- _For Zip -Neuron-Models_AMPA-GABA/Suppl5_Real_Cell_Mild-var-SpatialCorr/
A general model of hippocampal and dorsal striatal learning and decision making (Geerts et al 2020)
- hippocampus-dls/
- hippocampus-dls/__init__.py
- hippocampus-dls/hippocampus/
- hippocampus-dls/.ipynb_checkpoints/
- hippocampus-dls/.git/
- hippocampus-dls/data/
- hippocampus-dls/.idea/
- hippocampus-dls/hippocampus/analysis/
- hippocampus-dls/hippocampus/experiments/
- hippocampus-dls/hippocampus/__init__.py
- hippocampus-dls/hippocampus/notebooks/
- hippocampus-dls/hippocampus/auxiliary/
- hippocampus-dls/hippocampus/.idea/
- hippocampus-dls/.git/objects/
- hippocampus-dls/.git/info/
- hippocampus-dls/.git/logs/
- hippocampus-dls/.git/hooks/
- hippocampus-dls/.git/refs/
- hippocampus-dls/data/bvc_maps/
- hippocampus-dls/data/bvc_maps_landmarks/
- hippocampus-dls/.idea/inspectionProfiles/
- hippocampus-dls/hippocampus/analysis/__init__.py
- hippocampus-dls/hippocampus/experiments/__init__.py
- hippocampus-dls/hippocampus/notebooks/.ipynb_checkpoints/
- hippocampus-dls/hippocampus/auxiliary/__init__.py
- hippocampus-dls/hippocampus/.idea/inspectionProfiles/
- hippocampus-dls/.git/objects/95/
- hippocampus-dls/.git/objects/59/
- hippocampus-dls/.git/objects/66/
- hippocampus-dls/.git/objects/3e/
- hippocampus-dls/.git/objects/50/
- hippocampus-dls/.git/objects/68/
- hippocampus-dls/.git/objects/3b/
- hippocampus-dls/.git/objects/03/
- hippocampus-dls/.git/objects/04/
- hippocampus-dls/.git/objects/6a/
- hippocampus-dls/.git/objects/32/
- hippocampus-dls/.git/objects/3c/
- hippocampus-dls/.git/objects/67/
- hippocampus-dls/.git/objects/0b/
- hippocampus-dls/.git/objects/93/
- hippocampus-dls/.git/objects/94/
- hippocampus-dls/.git/objects/0e/
- hippocampus-dls/.git/objects/34/
- hippocampus-dls/.git/objects/5a/
- hippocampus-dls/.git/objects/33/
- hippocampus-dls/.git/objects/05/
- hippocampus-dls/.git/objects/9c/
- hippocampus-dls/.git/objects/02/
- hippocampus-dls/.git/objects/a3/
- hippocampus-dls/.git/objects/b5/
- hippocampus-dls/.git/objects/d9/
- hippocampus-dls/.git/objects/ac/
- hippocampus-dls/.git/objects/bb/
- hippocampus-dls/.git/objects/d7/
- hippocampus-dls/.git/objects/be/
- hippocampus-dls/.git/objects/df/
- hippocampus-dls/.git/objects/b4/
- hippocampus-dls/.git/objects/bd/
- hippocampus-dls/.git/objects/d1/
- hippocampus-dls/.git/objects/d6/
- hippocampus-dls/.git/objects/ae/
- hippocampus-dls/.git/objects/d8/
- hippocampus-dls/.git/objects/f4/
- hippocampus-dls/.git/objects/f3/
- hippocampus-dls/.git/objects/eb/
- hippocampus-dls/.git/objects/ee/
- hippocampus-dls/.git/objects/fc/
- hippocampus-dls/.git/objects/fd/
- hippocampus-dls/.git/objects/f2/
- hippocampus-dls/.git/objects/f5/
- hippocampus-dls/.git/objects/e3/
- hippocampus-dls/.git/objects/e4/
- hippocampus-dls/.git/objects/fe/
- hippocampus-dls/.git/objects/c8/
- hippocampus-dls/.git/objects/fb/
- hippocampus-dls/.git/objects/ed/
- hippocampus-dls/.git/objects/c6/
- hippocampus-dls/.git/objects/ec/
- hippocampus-dls/.git/objects/18/
- hippocampus-dls/.git/objects/27/
- hippocampus-dls/.git/objects/4b/
- hippocampus-dls/.git/objects/pack/
- hippocampus-dls/.git/objects/7c/
- hippocampus-dls/.git/objects/89/
- hippocampus-dls/.git/objects/1f/
- hippocampus-dls/.git/objects/73/
- hippocampus-dls/.git/objects/87/
- hippocampus-dls/.git/objects/80/
- hippocampus-dls/.git/objects/28/
- hippocampus-dls/.git/objects/17/
- hippocampus-dls/.git/objects/8f/
- hippocampus-dls/.git/objects/4c/
- hippocampus-dls/.git/objects/26/
- hippocampus-dls/.git/objects/21/
- hippocampus-dls/.git/objects/4d/
- hippocampus-dls/.git/objects/75/
- hippocampus-dls/.git/objects/81/
- hippocampus-dls/.git/objects/2a/
- hippocampus-dls/.git/objects/88/
- hippocampus-dls/.git/objects/6b/
- hippocampus-dls/.git/objects/6e/
- hippocampus-dls/.git/objects/9a/
- hippocampus-dls/.git/objects/36/
- hippocampus-dls/.git/objects/5c/
- hippocampus-dls/.git/objects/09/
- hippocampus-dls/.git/objects/31/
- hippocampus-dls/.git/objects/info/
- hippocampus-dls/.git/objects/65/
- hippocampus-dls/.git/objects/96/
- hippocampus-dls/.git/objects/3a/
- hippocampus-dls/.git/objects/98/
- hippocampus-dls/.git/objects/53/
- hippocampus-dls/.git/objects/30/
- hippocampus-dls/.git/objects/5b/
- hippocampus-dls/.git/objects/37/
- hippocampus-dls/.git/objects/6d/
- hippocampus-dls/.git/objects/06/
- hippocampus-dls/.git/objects/39/
- hippocampus-dls/.git/objects/99/
- hippocampus-dls/.git/objects/55/
- hippocampus-dls/.git/objects/63/
- hippocampus-dls/.git/objects/0a/
- hippocampus-dls/.git/objects/d3/
- hippocampus-dls/.git/objects/a0/
- hippocampus-dls/.git/objects/a7/
- hippocampus-dls/.git/objects/b8/
- hippocampus-dls/.git/objects/b1/
- hippocampus-dls/.git/objects/dd/
- hippocampus-dls/.git/objects/dc/
- hippocampus-dls/.git/objects/d5/
- hippocampus-dls/.git/objects/aa/
- hippocampus-dls/.git/objects/b7/
- hippocampus-dls/.git/objects/db/
- hippocampus-dls/.git/objects/a8/
- hippocampus-dls/.git/objects/de/
- hippocampus-dls/.git/objects/b0/
- hippocampus-dls/.git/objects/a6/
- hippocampus-dls/.git/objects/a1/
- hippocampus-dls/.git/objects/ef/
- hippocampus-dls/.git/objects/ea/
- hippocampus-dls/.git/objects/cd/
- hippocampus-dls/.git/objects/cc/
- hippocampus-dls/.git/objects/e6/
- hippocampus-dls/.git/objects/f9/
- hippocampus-dls/.git/objects/f7/
- hippocampus-dls/.git/objects/ff/
- hippocampus-dls/.git/objects/c5/
- hippocampus-dls/.git/objects/f6/
- hippocampus-dls/.git/objects/e9/
- hippocampus-dls/.git/objects/f1/
- hippocampus-dls/.git/objects/e7/
- hippocampus-dls/.git/objects/cb/
- hippocampus-dls/.git/objects/f8/
- hippocampus-dls/.git/objects/ce/
- hippocampus-dls/.git/objects/e0/
- hippocampus-dls/.git/objects/46/
- hippocampus-dls/.git/objects/79/
- hippocampus-dls/.git/objects/2d/
- hippocampus-dls/.git/objects/41/
- hippocampus-dls/.git/objects/83/
- hippocampus-dls/.git/objects/1b/
- hippocampus-dls/.git/objects/70/
- hippocampus-dls/.git/objects/1e/
- hippocampus-dls/.git/objects/84/
- hippocampus-dls/.git/objects/23/
- hippocampus-dls/.git/objects/4f/
- hippocampus-dls/.git/objects/8d/
- hippocampus-dls/.git/objects/15/
- hippocampus-dls/.git/objects/12/
- hippocampus-dls/.git/objects/71/
- hippocampus-dls/.git/objects/76/
- hippocampus-dls/.git/objects/1c/
- hippocampus-dls/.git/objects/82/
- hippocampus-dls/.git/objects/49/
- hippocampus-dls/.git/objects/2e/
- hippocampus-dls/.git/objects/78/
- hippocampus-dls/.git/objects/8b/
- hippocampus-dls/.git/objects/13/
- hippocampus-dls/.git/objects/7a/
- hippocampus-dls/.git/objects/8e/
- hippocampus-dls/.git/objects/25/
- hippocampus-dls/.git/logs/refs/
- hippocampus-dls/.git/refs/heads/
- hippocampus-dls/.git/refs/tags/
- hippocampus-dls/.git/refs/remotes/
- hippocampus-dls/.git/logs/refs/heads/
- hippocampus-dls/.git/logs/refs/remotes/
- hippocampus-dls/.git/refs/remotes/origin/
- hippocampus-dls/.git/logs/refs/remotes/origin/
Neuroprotective Role of Gap Junctions in a Neuron Astrocyte Network Model (Huguet et al 2016)
- modeldb/
- __MACOSX/
- __MACOSX/modeldb/
Synaptic vesicle fusion model (Church et al 2021)
- SynapticCleft_MCell_Parameters/
- SynapticCleft_MCell_Parameters/Clustered receptors/
- SynapticCleft_MCell_Parameters/Clustered receptors/mcell/
- __MACOSX/
- __MACOSX/SynapticCleft_MCell_Parameters/
- __MACOSX/SynapticCleft_MCell_Parameters/Clustered receptors/
- __MACOSX/SynapticCleft_MCell_Parameters/Clustered receptors/mcell/
- SynapticCleft_MCell_Parameters/Clustered receptors/mcell/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/Clustered receptors/mcell/_notes/
- SynapticCleft_MCell_Parameters/DelayFusion/
- SynapticCleft_MCell_Parameters/DelayFusion/1d5mcell1/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/1d5mcell1/
- SynapticCleft_MCell_Parameters/DelayFusion/1d5mcell1/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/1d5mcell1/_notes/
- SynapticCleft_MCell_Parameters/DelayFusion/1dmcell1/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/1dmcell1/
- SynapticCleft_MCell_Parameters/DelayFusion/1dmcell1/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/1dmcell1/_notes/
- SynapticCleft_MCell_Parameters/DelayFusion/d4mcell1/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/d4mcell1/
- SynapticCleft_MCell_Parameters/DelayFusion/d4mcell1/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/d4mcell1/_notes/
- SynapticCleft_MCell_Parameters/DelayFusion/d5mcell1/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/d5mcell1/
- SynapticCleft_MCell_Parameters/DelayFusion/d5mcell1/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/d5mcell1/_notes/
- SynapticCleft_MCell_Parameters/DelayFusion/d75mcell1/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/d75mcell1/
- SynapticCleft_MCell_Parameters/DelayFusion/d75mcell1/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/DelayFusion/d75mcell1/_notes/
- SynapticCleft_MCell_Parameters/FullFusion/
- SynapticCleft_MCell_Parameters/FullFusion/mcell/
- __MACOSX/SynapticCleft_MCell_Parameters/FullFusion/
- __MACOSX/SynapticCleft_MCell_Parameters/FullFusion/mcell/
- SynapticCleft_MCell_Parameters/FullFusion/mcell/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/FullFusion/mcell/_notes/
- SynapticCleft_MCell_Parameters/Multivesicular/
- SynapticCleft_MCell_Parameters/Multivesicular/1vesicle/
- SynapticCleft_MCell_Parameters/Multivesicular/1vesicle/mcell/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/1vesicle/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/1vesicle/mcell/
- SynapticCleft_MCell_Parameters/Multivesicular/1vesicle/mcell/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/1vesicle/mcell/_notes/
- SynapticCleft_MCell_Parameters/Multivesicular/2vesicles/
- SynapticCleft_MCell_Parameters/Multivesicular/2vesicles/mcell/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/2vesicles/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/2vesicles/mcell/
- SynapticCleft_MCell_Parameters/Multivesicular/2vesicles/mcell/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/2vesicles/mcell/_notes/
- SynapticCleft_MCell_Parameters/Multivesicular/3vesicles/
- SynapticCleft_MCell_Parameters/Multivesicular/3vesicles/mcell/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/3vesicles/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/3vesicles/mcell/
- SynapticCleft_MCell_Parameters/Multivesicular/3vesicles/mcell/_notes/
- __MACOSX/SynapticCleft_MCell_Parameters/Multivesicular/3vesicles/mcell/_notes/
Phasic ACh promotes gamma oscillations in E-I networks (Lu et al, 2020)
- Lu_etal_transient_gamma/
BK - CaV coupling (Montefusco et al. 2017)
- matlab_code/
- matlab_code/code_ms/
- matlab_code/code_ms/MC_sim/
A cerebellar model of phase-locked tACS for essential tremor (Schreglmann et al., 2021)
- SchreglmannEtAl2020/
- SchreglmannEtAl2020/Scaleup_5x_all/
- SchreglmannEtAl2020/Example_data/
- SchreglmannEtAl2020/CCTC_model/
- SchreglmannEtAl2020/Scaleup_5x_all/recordings_non_pl/
- SchreglmannEtAl2020/Scaleup_5x_all/modfiles/
- SchreglmannEtAl2020/Scaleup_5x_all/temporary/
- SchreglmannEtAl2020/Scaleup_5x_all/recordings_full/
- SchreglmannEtAl2020/Example_data/Ineffective_phase/
- SchreglmannEtAl2020/Example_data/Effective_phase/
- SchreglmannEtAl2020/CCTC_model/recordings_non_pl/
- SchreglmannEtAl2020/CCTC_model/modfiles/
- SchreglmannEtAl2020/CCTC_model/temporary/
- SchreglmannEtAl2020/CCTC_model/recordings_full/
- SchreglmannEtAl2020/CCTC_model/recordings_non_pl/v_Vim.txt
- SchreglmannEtAl2020/CCTC_model/recordings_non_pl/v_ION.txt
- SchreglmannEtAl2020/CCTC_model/recordings_non_pl/PCap.txt
- SchreglmannEtAl2020/CCTC_model/recordings_non_pl/v_Vim_30.txt
- SchreglmannEtAl2020/CCTC_model/recordings_non_pl/v_ION_30.txt
Age-dependent excitability of CA1 pyramidal neurons in APPPS1 Alzheimer's model (Vitale et al 2021)
- Vitale2021_modelDB/morphologies/
- Vitale2021_modelDB/readme_file/
Single Trial Sequence learning: a spiking neurons model based on hippocampus (Coppolino et al 2021)
- SNN_Robot_Model/
- SNN_Robot_Model/Learning/
- SNN_Robot_Model/Recall/
- SNN_Robot_Model/Learning/husky/
- SNN_Robot_Model/Learning/csv_records/
- SNN_Robot_Model/Recall/husky/
- SNN_Robot_Model/Recall/csv_records/
A model for a nociceptor terminal and terminal tree (Barkai et al., 2020)
- Barkai_etal_2020/
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. 2021)
- L5PYR_Resonance-master/
- L5PYR_Resonance-master/models/
- L5PYR_Resonance-master/models/AckerAntic/
- L5PYR_Resonance-master/models/AckerAntic/cells/
- L5PYR_Resonance-master/models/AckerAntic/cells/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/cells/__pycache__/
- L5PYR_Resonance-master/models/AckerAntic/misc/
- L5PYR_Resonance-master/models/AckerAntic/misc/gflucts/
- L5PYR_Resonance-master/models/AckerAntic/misc/gflucts/mod/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20171207/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20171207/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20180122/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20180122/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20180207/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20180207/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20180313/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_20180313/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_bap/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_bap/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_fi/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_fi/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_glutdyn/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_glutdyn/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_gmax/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_gmax/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nmda_comp/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nmda_comp/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nmda_dms/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nmda_dms/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_255syns/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_255syns/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_5syns/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_5syns/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_onesyn/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_onesyn/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_varsyns/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_nospines_varsyns/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_plat_overlay/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_plat_overlay/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_rmp/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_rmp/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_sfn2017/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_sfn2017/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_spillover/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_spillover/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_spineLoc/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_spineLoc/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_tospines/
- L5PYR_Resonance-master/models/AckerAntic/misc/old_batches/batch_tospines/__init__.py
- L5PYR_Resonance-master/models/AckerAntic/mod/
- L5PYR_Resonance-master/models/DuraBernal/
- L5PYR_Resonance-master/models/DuraBernal/__pycache__/
- L5PYR_Resonance-master/models/DuraBernal/cells/
- L5PYR_Resonance-master/models/DuraBernal/conn/
- L5PYR_Resonance-master/models/DuraBernal/mod/
- L5PYR_Resonance-master/models/Hay/
- L5PYR_Resonance-master/models/Hay/mod/
- L5PYR_Resonance-master/models/Hay/model sets/
- L5PYR_Resonance-master/models/Hay/model sets/Fig3_black-set/
- L5PYR_Resonance-master/models/Hay/model sets/Fig3_red-set/
- L5PYR_Resonance-master/models/Hay/model sets/Fig6d_black-set/
- L5PYR_Resonance-master/models/Hay/model sets/Fig6d_red-set/
- L5PYR_Resonance-master/models/Hay/model sets/Fig6e_red-set/
- L5PYR_Resonance-master/models/Hay/model sets/Fig7d_red-set/
- L5PYR_Resonance-master/models/Hay/models/
- L5PYR_Resonance-master/models/Hay/morphologies/
- L5PYR_Resonance-master/models/Hay/simulationcode/
- L5PYR_Resonance-master/models/Kole/
- L5PYR_Resonance-master/models/Neymotin/
- L5PYR_Resonance-master/models/Neymotin/cells/
- L5PYR_Resonance-master/models/Neymotin/mod/
- L5PYR_Resonance-master/models/allen_morphs/
- L5PYR_Resonance-master/models/suter_shepherd/
- L5PYR_Resonance-master/simcode/
- L5PYR_Resonance-master/simcode/varystuff/
- L5PYR_Resonance-master/simcode/varystuff2/
PLS-framework (Tikidji-Hamburyan and Colonnese 2021)
- PLS-framework/
- PLS-framework/WangBuzsaki-model-reduction-c-code/
- PLS-framework/WangBuzsaki-model-reduction-c-code/izcl-gpu.log
- PLS-framework/WangBuzsaki-model-reduction-c-code/izcl.log
- PLS-framework/WangBuzsaki-model-reduction-c-code/wbcl-gpu.log
- PLS-framework/WangBuzsaki-model-reduction-c-code/wbmix-gpu.log
- PLS-framework/WangBuzsaki-model-reduction-c-code/wbpol-gpu.log
- PLS-framework/WangBuzsaki-model-reduction-c-code/wbpwl-gpu.log
- PLS-framework/WangBuzsaki-model-reduction-c-code/wbtbl-gpu.log
Multiplexed coding in Purkinje neuron dendrites (Zang and De Schutter 2021)
- purkinje_pf_source_code/
- purkinje_pf_source_code/mod/
Mathematical model of behavioral time scale plasticity (BTSP) of place fields (Shouval & Cone 2021)
- Final Code for BTSP Project/
- __MACOSX/
- __MACOSX/Final Code for BTSP Project/
Sound-evoked activity in peripheral axons of type I spiral ganglion neurons (Budak et al. 2021)
- HHL_myelinopathy_CAPgeneration/
- HHL_myelinopathy_CAPgeneration/neural-representations-of-speech-master/
- HHL_myelinopathy_CAPgeneration/neural-representations-of-speech-master/Scripts/
- HHL_myelinopathy_CAPgeneration/neural-representations-of-speech-master/Scripts/Tools/
- HHL_myelinopathy_CAPgeneration/neural-representations-of-speech-master/Scripts/Examples/
- HHL_myelinopathy_CAPgeneration/neural-representations-of-speech-master/Scripts/Auditory Nerve Model/
- HHL_myelinopathy_CAPgeneration/neural-representations-of-speech-master/Scripts/Display/
- HHL_myelinopathy_CAPgeneration/neural-representations-of-speech-master/Scripts/Classifiers/
Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021)
- PD_in_NetPyNE-master/
Paranoia and belief updating during a crisis (Suthaharan et al., 2021)
- modelDB/code/
- modelDB/code/.Rhistory
- modelDB/data/
- modelDB/data/HGF/
- modelDB/data/HGF/pandemic/
- modelDB/data/HGF/pandemic/Lockdown/
- modelDB/data/HGF/pandemic/Pre_social/
- modelDB/data/HGF/pandemic/Reopening/
A neurite to measure ePSP and AP amplitude after passive spread (DeMaegd & Stein, 2021)
- DeMaegd_Stein_Model_DB/
An agent-based computational model for cortical layer formation (Bauer et al 2021)
- LayerFormationCode/
Membrane electrical properties of mouse CA1 pyramidal cells during strong inputs (Bianchi et al 22)
- ModelDB_BJ2022/morphologies/
- ModelDB_BJ2022/readme2_file/
Reduced-morphology model of CA1 pyramidal cells optimized + validated w/ HippoUnit (Tomko et al '21)
- TomkoEtAl2021/
- TomkoEtAl2021/TomkoEtAl2021/
- TomkoEtAl2021/TomkoEtAl2021/figs/
- TomkoEtAl2021/TomkoEtAl2021/Mods/
Piriform cortex network model with multicompartment neurons for cell assemblies (Traub et al 2021)
- piriform_model_RDT_Jan20212021-01-29-14-12-28/
CA3 hippocampal pyramidal neuron with voltage-clamp intrinsic conductance data (Traub et al 1991)
- TraubFigs_modelDB/
- TraubFigs_modelDB/mods/
- TraubFigs_modelDB/Traub_Figures/
- TraubFigs_modelDB/Traub_Figures/TraubFigure5/
- TraubFigs_modelDB/Traub_Figures/CompareOriginalFigs/
- TraubFigs_modelDB/Traub_Figures/TraubFigure4/
- TraubFigs_modelDB/Traub_Figures/TraubFigure3/
- TraubFigs_modelDB/Traub_Figures/TraubFigure6/
- TraubFigs_modelDB/Traub_Figures/TraubFigure8/
- TraubFigs_modelDB/Traub_Figures/TraubFigure9/
- TraubFigs_modelDB/Traub_Figures/TraubFigure7/
- TraubFigs_modelDB/Traub_Figures/TraubFigure10/
The role of network connectivity on epileptiform activity (Giacopelli et al 2021)
- release/readme_file/
Ambient glutamate shapes AMPA receptor responses to simulated transients (Balmer et al. 2021)
- AMPA_glutamate/
Reaction-diffusion sims of Ca2+ signals in astrocytic branchlets at the nanoscale (Denizot et al 22)
- bleaching/
- bleaching/.logs/
- bleaching/.logs/general_log_0.txt
- successivestim/
- successivestim/.logs/
Astrocyte and Blood Vessel Calcium Imaging Tracking code (Haidey et al 2021)
- code_for_submission/
Multifunctional control of feeding in Aplysia (Webster-Wood et al. 2020)
- Aplysia-Feeding-Boolean-Model/
- Aplysia-Feeding-Boolean-Model/fig/
Thalamo-cortical microcircuit (TCM) (AmirAli Farokhniaee and Madeleine M. Lowery 2021)
- TCM_ModelDB/
Voltage-gated conductances can counteract filtering effect of membrane capacitance (Heras et al '16)
- shuntpeaking/
- shuntpeaking/phhotoreceptor-master/
- shuntpeaking/phhotoreceptor-master/phhotoreceptor/
- shuntpeaking/phhotoreceptor-master/scripts/
- shuntpeaking/phhotoreceptor-master/scripts/calliphora_energy/
- shuntpeaking/phhotoreceptor-master/scripts/drosophila_shifts/
- shuntpeaking/phhotoreceptor-master/scripts/shunt_peaking/
E-I balance modulates formation and dynamics of neuronal assemblies (Sadeh and Clopath, 2021)
- Induction_Regimes/
- Induction_Regimes/Induction_1/
- Induction_Regimes/UtilityFunctions/
- Induction_Regimes/Induction_2/
Coincidence detection in MSO principal cells (Goldwyn et al. 2019)
- TwoCompartmentModel-master/
Cardiac models of circadian rhythms in early afterdepolarizations & arrhythmias (Diekman & Wei 2021)
- DiekmanWei2021_ModelDB/
Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
- NMM_BrainRhythms/
Human Cortical L5 Pyramidal Cell (Rich et al. 2021)
- HumanCellOrganized_v2/
Ventromedial Thalamocortical Neuron (Bichler et al 2021)
- VMThalamocorticalNeuronModel/
Diameter, Myelination and Na/K pump interactions affect axonal resilience to high frequency spiking
- axon_pub_code/
- axon_pub_code/mye_pub/
- axon_pub_code/unm_pub/
- axon_pub_code/mye_pub/mods/
- axon_pub_code/unm_pub/mods/
Impact of Small Time Delays on the Onset of Oscillations and Synchrony (Al-Darabsah et al 2021)
- CODE/
Cellular and Synaptic Mechanisms Differentiate Mitral & Superficial Tufted Cells (Jones et al 2020)
- JonesSchoppaZylberberg/
Efficient simulation of 3D reaction-diffusion in models of neurons (McDougal et al, 2022)
- code/
- code/swc/
Grid cell-to-place cell transformation model w AD-related synaptic loss (Ness and Schultz 2021)
- Place_cell_simulation/Grid_cell_and_synstrpool_scripts/
M1 and M4 intrinsically photosensitive retinal ganglion cells (Stinchcombe et al. 2021)
- StinchcombeEtAl2021/
Model for pancreatic beta-cells (Law et al. 2020)
- AJP_20/
Cortical Interneuron & Pyramidal Cell Model of Cortical Spreading Depression (Stein & Harris 2022)
- 2pi/
Growth Rules for Repair of Asynch Irregular Networks after Peripheral Lesions (Sinha et al 2021)
- SinhaEtAl2021-main/
- SinhaEtAl2021-main/src-single/
- SinhaEtAl2021-main/src/
PING, ING and CHING network models for Gamma oscillations in cortex (Susin and Destexhe 2021)
- PING_ING_CHING_Models/
Leaky Integrate and Fire Neuron Model of Context Integration (Calvin, Redish 2021)
- 2021_Context_Integration_and_EI_Balance/
- 2021_Context_Integration_and_EI_Balance/collect/
- 2021_Context_Integration_and_EI_Balance/analysis/
- 2021_Context_Integration_and_EI_Balance/test/
- 2021_Context_Integration_and_EI_Balance/world/
- 2021_Context_Integration_and_EI_Balance/utils/
- 2021_Context_Integration_and_EI_Balance/agent/
- 2021_Context_Integration_and_EI_Balance/plotting/
- 2021_Context_Integration_and_EI_Balance/DPXAnalysis2021/
- 2021_Context_Integration_and_EI_Balance/collect/__pycache__/
- 2021_Context_Integration_and_EI_Balance/analysis/__pycache__/
- 2021_Context_Integration_and_EI_Balance/world/__pycache__/
- 2021_Context_Integration_and_EI_Balance/utils/ivprobs/
- 2021_Context_Integration_and_EI_Balance/utils/__pycache__/
- 2021_Context_Integration_and_EI_Balance/agent/__pycache__/
- 2021_Context_Integration_and_EI_Balance/plotting/__pycache__/
- 2021_Context_Integration_and_EI_Balance/DPXAnalysis2021/__pycache__/
- 2021_Context_Integration_and_EI_Balance/utils/ivprobs/__pycache__/
Two-neuron conductance-based model with dynamic ion concentrations to study NaV1.1 channel mutations
- 2_neurons_NaV1_1/
- 2_neurons_NaV1_1/ic/
- 2_neurons_NaV1_1/par/
- 2_neurons_NaV1_1/screenshots/
Reconstructed neuron (cerebellar, hippocampal, striatal) sims using predicted diameters (Reed et al)
- shapeshifter_morph_sims/
Information trans. through Entopeduncular nucleus modified by synaptic plasticity (Gorodetsky et al)
- moose_nerp/anal/
- moose_nerp/ep/
- moose_nerp/ep/output/
- moose_nerp/ep_net/
- moose_nerp/ep_net/output/
- moose_nerp/graph/
- moose_nerp/graph/__init__.py
- moose_nerp/prototypes/
- moose_nerp/prototypes/test2.log
- moose_nerp/prototypes/tests.log
- moose_nerp/prototypes/__init__.py
- moose_nerp/__init__.py
Conditions for synaptic specificity in maintenance phase of synaptic plasticity (Huertas et al, '22)
- synaptic_specificity/
Spinal Dorsal Horn Network Model (Medlock et al 2022)
- SDHmodel/
- SDHmodel/spkt/
- SDHmodel/mods/
Realistic amplifier model (Oláh et al. 2021)
- realistic amplifier model/1_VC and CC operation/
- realistic amplifier model/1_VC and CC operation/current-clamp/
- realistic amplifier model/1_VC and CC operation/voltage-clamp/
- realistic amplifier model/2_real experiment reconstruction/
- realistic amplifier model/2_real experiment reconstruction/AP_generator/
- realistic amplifier model/2_real experiment reconstruction/AP_generator/real data/
- realistic amplifier model/3_complete morphology/
A model of ventral Hippocampal CA1 pyramidal neurons of Tg2576 AD mice (Spoleti et al. 2021)
- modeldb_ventralAD/morphology/
- modeldb_ventralAD/README_file/
Hyperexcitability from Nav1.2 channel loss in neocortical pyramidal cells (Spratt et al 2021)
- SprattEtAl2021/
- SprattEtAl2021/Na12 Analysis/
- SprattEtAl2021/Ri Increase/
- SprattEtAl2021/Na12 Analysis/mechanisms/
- SprattEtAl2021/Na12 Analysis/Volts/
- SprattEtAl2021/Na12 Analysis/params/
- SprattEtAl2021/Na12 Analysis/Stims/
- SprattEtAl2021/Na12 Analysis/morphology/
- SprattEtAl2021/Ri Increase/mechanisms/
- SprattEtAl2021/Ri Increase/Volts/
- SprattEtAl2021/Ri Increase/params/
- SprattEtAl2021/Ri Increase/Stims/
- SprattEtAl2021/Ri Increase/.ipynb_checkpoints/
- SprattEtAl2021/Ri Increase/morphology/
Dynamics of ERK signaling pathways during L-LTP induction(Miningou et al 2021)
- ERK-master/
- ERK-master/Analysis/
- ERK-master/Experiment/
- ERK-master/Experiment/Initialization/
- ERK-master/Experiment/Validation/
- ERK-master/Experiment/simulation/
- ERK-master/Experiment/simulation/LFS_ISO_HFS/
- ERK-master/Experiment/simulation/LTP_train/
- ERK-master/Experiment/simulation/LTP_train/Ca/
- ERK-master/Experiment/simulation/LTP_train/Ca/Ca_stim/
- ERK-master/Experiment/simulation/LTP_train/Ca/knockout/
- ERK-master/Experiment/simulation/LTP_train/Gbg/
- ERK-master/Experiment/simulation/LTP_train/Multiplepath/
- ERK-master/Experiment/simulation/LTP_train/cAMP/
- ERK-master/Experiment/simulation/LTP_train/cAMP/Knockout/
- ERK-master/Experiment/simulation/LTP_train/cAMP/cAMP_stim/
- ERK-master/Experiment/simulation/Robustness/
- ERK-master/Experiment/simulation/Robustness/NewPKA/
- ERK-master/Experiment/simulation/Robustness/SRC-quantity/
- ERK-master/Experiment/simulation/Robustness/analysis/
- ERK-master/Experiment/simulation/Robustness/analysis/Random/
- ERK-master/Experiment/simulation/Robustness/analysis/set0.9/
- ERK-master/Experiment/simulation/Robustness/analysis/set1.1/
- ERK-master/Experiment/simulation/Robustness/blockRaf1_bRaf/
- ERK-master/Experiment/simulation/Robustness/blockRas_Rap/
- ERK-master/Experiment/simulation/Robustness/nodimer/
- ERK-master/Experiment/simulation/Robustness/old-CamCa/
- ERK-master/Experiment/simulation/Robustness/pp1_Ratio/
- ERK-master/Experiment/simulation/Robustness/pp1_Ratio/LTP_50PP1/
- ERK-master/Experiment/simulation/Robustness/pp1_Ratio/no_LTP/
- ERK-master/Experiment/simulation/Single_pulse/
- ERK-master/Experiment/simulation/Single_pulse/Ca/
- ERK-master/Experiment/simulation/Single_pulse/Ca/Ca/
- ERK-master/Experiment/simulation/Single_pulse/Ca/Ca/trials/
- ERK-master/Experiment/simulation/Single_pulse/Ca/Knockout/
- ERK-master/Experiment/simulation/Single_pulse/Gbg/
- ERK-master/Experiment/simulation/Single_pulse/cAMP/
- ERK-master/Experiment/simulation/Single_pulse/cAMP/Knockout/
- ERK-master/Experiment/simulation/Single_pulse/cAMP/cAMP/
- ERK-master/Experiment/simulation/Single_pulse/multiplePath/
Interactions among kinase cascades underlying LTP in Aplysia sensory neurons (Zhang et al 2021)
- model_Yili_Zhang_2021_SciRep/
Dynamics of ramping bursts in a respiratory pre-Botzinger Complex model (Abdulla et al, 2021)
- prelramp/
Look-Up Table Synapse (LUTsyn) models for AMPA and NMDA (Pham et al., 2021)
- LUTsyn_demo_files2/
DG adult-born granule cell: nonlinear a5-GABAARs control AP firing (Lodge et al, 2021)
- Lodge_2021_Cell_Rep_GC_Models/
Switching circuit for optimal context integration during static + moving contexts (Voina et al 2022)
- repository_project1/
- __MACOSX/
- __MACOSX/repository_project1/
- repository_project1/filters/
- repository_project1/weights/
Layer-specific pyramidal cell props underlie diverse ACC motor + limbic networks (Medalla et al '21)
- Codes_and_ReadMe/
- Codes_and_ReadMe/no_Adaptation/
- Codes_and_ReadMe/fast&slow_Adaptation/
Resurgent sodium transient current in zebra finch RA (Zemel et al., 2021)
- INa_R/
The electrodiffusive Pinsky-Rinzel (edPR) model (Sætra et al., 2020)
- edPRmodel/
Long-Term Inactivation of Na+ Channels as a Mech of Adaptation in CA1 Pyr Cells (Upchurch et al '22)
- adaptingCA1cell/c80761/
- adaptingCA1cell/experiment/
- adaptingCA1cell/lib/
- adaptingCA1cell/pc1a/
- adaptingCA1cell/pc1a/CNG version/
- adaptingCA1cell/pc2b/
- adaptingCA1cell/template/
Active intrinsic conductances in networks, transients, activity, plasticity (Akosy and Shouval 2021)
- ModelDB_small/
- __MACOSX/
- __MACOSX/ModelDB_small/
Central Nervous System tadpole model in Matlab and NEURON-Python (Ferrario et al, 2021)
- CNS model ModelDB/
- CNS model ModelDB/functional model/
- CNS model ModelDB/functional model/data/
- CNS model ModelDB/functional model/figures/
- CNS model ModelDB/functional model/mpi/
- CNS model ModelDB/functional model/mpi/__init__.py
- CNS model ModelDB/functional model/nrnTemplate/
- CNS model ModelDB/functional model/nrnTemplate/__init__.py
- CNS model ModelDB/functional model/nrnTemplate/CellTypes/
- CNS model ModelDB/functional model/nrnTemplate/CellTypes/__init__.py
- CNS model ModelDB/functional model/nrnMod/
- CNS model ModelDB/probabilistic model/
- CNS model ModelDB/probabilistic model/anatomical adjacency matrixes/
- CNS model ModelDB/anatomical model/
- CNS model ModelDB/anatomical model/connectome files/
Initiation of spreading depolarization by GABAergic neuron hyperactivity & NaV 1.1 (Chever et al 21)
- 2_neurons_NaV1_1/
- 2_neurons_NaV1_1/screenshots/
- 2_neurons_NaV1_1/ic/
- 2_neurons_NaV1_1/par/
Accelerating with FlyBrainLab discovery of the functional logic of Drosophila brain (Lazar et al 21)
- fbl/
Locus Coeruleus blocking model (Chowdhury et al.)
- lc_model/
- lc_model/out/
- lc_model/data/
Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21)
- programmi base/
- programmi base/programmi1e2/
- programmi base/programmi34e56/
Spinal motoneuron recruitment regulated by ionic channels during fictive locomotion (Zhang & Dai 20)
- motoneuron recruitment/
HH model of SCN neurons including a transient K+ channel (Bano-Otalora et al 2021)
- ModelDB_Bano-Otalora_and_Moye_etal_2021_eLife/
Neuromusculoskeletal modeling with neural and finite element models (Volk et al, 2021)
- NetPyNE Model/
Biophysical models of AWCon and RMD C. elegans neurons (M. Nicoletti at al. 2019)
- MNicoletti_2019_XPP/
- __MACOSX/
- __MACOSX/MNicoletti_2019_XPP/
Computational model of cerebellar tDCS (Zhang et al., 2021)
- Crbl_tDCS_Zhang2021/
- Crbl_tDCS_Zhang2021/Granule/
- Crbl_tDCS_Zhang2021/Purkinje/
- Crbl_tDCS_Zhang2021/DCN/
- Crbl_tDCS_Zhang2021/Granule/mod_files/
- Crbl_tDCS_Zhang2021/Purkinje/dend_train/
- Crbl_tDCS_Zhang2021/Purkinje/mod_files/
- Crbl_tDCS_Zhang2021/DCN/mod_files/
eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020)
- benchmark/
- nestml/
- nestml/report/
- nestml/build/
- nestml/build/CMakeFiles/
- nestml/build/CMakeFiles/CMakeTmp/
- nestml/build/CMakeFiles/energy_module_lib.dir/
- nestml/build/CMakeFiles/energy_module_module.dir/
- nestml/build/CMakeFiles/3.21.2/
- nestml/build/CMakeFiles/3.21.2/CompilerIdCXX/
- nestml/build/CMakeFiles/3.21.2/CompilerIdCXX/tmp/
- nestml/build/CMakeFiles/generate_help.dir/
- nestml/build/CMakeFiles/dist.dir/
- nestml/build/doc/
- nestml/build/doc/help/
- nestml/build/doc/help/cc/
- nestml/build/doc/help/sli/
- nestml/build/sli/
- nrn_impl/
Cat Locomotion and Paw-Shaking Central Pattern Generator Model (Parker et al 2021)
- CatLocomotionPawshakingCPG/
- CatLocomotionPawshakingCPG/StableWalking/
- CatLocomotionPawshakingCPG/StablePawShaking/
- CatLocomotionPawshakingCPG/TransienceExample/
- CatLocomotionPawshakingCPG/StableWalking/data/
- CatLocomotionPawshakingCPG/StablePawShaking/data/
- CatLocomotionPawshakingCPG/TransienceExample/data/
Hippocampal CA1 microcircuit model including somatic and dendritic inhibition (Bilash et al, 2023)
- bilash_2022/
- bilash_2022/_codes/
- bilash_2022/_codes/poisson_inputs/
- bilash_2022/_codes/mechanisms/
Mauthner cell with two pre-synaptic cells, an inhibitory and an excitatory cell (Orr et al 2021)
- zebrafish_cb1r_ode_files/
Phenomenological model of the mouse circadian pacemaker (Cao et al., 2022)
- CaoEtAl2022/
Mouse Episodic and Continuous Locomotion CPG (Sharples et al, 2022)
- MouseLocomotionCPG/
- MouseLocomotionCPG/SingleCell/
- MouseLocomotionCPG/ReducedSingleCell/
- MouseLocomotionCPG/ContinuousHCO/
- MouseLocomotionCPG/EpisodicHCO/
- MouseLocomotionCPG/SingleCell/data/
- MouseLocomotionCPG/ReducedSingleCell/data/
- MouseLocomotionCPG/ContinuousHCO/data/
- MouseLocomotionCPG/EpisodicHCO/data/
Spreading Depolarization in Brain Slices (Kelley et al. 2022)
- SDinSlice-main/
- SDinSlice-main/cfgs/
Hyperpolarization-activated inward current and dynamic range of electrical synapse (Stein et al '22)
- 267286/
Simulations of modulation of HCN channels in L5PCs (Mäki-Marttunen and Mäki-Marttunen, 2022)
- modulhcn/
- modulhcn/modulhcn_almog/
- modulhcn/modulhcn_hay/
- modulhcn/modulhcn/
- modulhcn/modulhcn_almog/cells/
- modulhcn/modulhcn_hay/morphologies/
- modulhcn/modulhcn_hay/models/
- modulhcn/modulhcn/modulhcn_almog/
- modulhcn/modulhcn/modulhcn_hay/
- modulhcn/modulhcn/modulhcn_almog/cells/
- modulhcn/modulhcn/modulhcn_hay/morphologies/
- modulhcn/modulhcn/modulhcn_hay/models/
Distributed working memory in large-scale macaque brain model (Mejias and Wang, 2022)
- ModelDB/
- ModelDB/Figure2/
- ModelDB/Figure3/
- ModelDB/Figure4/
- ModelDB/Figure8/
- ModelDB/Figure7/
- ModelDB/Figure7/fig7ab/
- ModelDB/Figure7/fig7c/
A model of working memory for encoding multiple items (Ursino et al, in press)
- AAPrograms_repository/
- AAPrograms_repository/readme.fld/
Morphological determinants of action potential dynamics in substantia nigra (Moubarak et al 2022)
- MODELE_ DA_NEURON/
- MODELE_ DA_NEURON/data/
Hippocampal CA3 thorny and a-thorny principal neuron models (Linaro et al in review)
- CA3_models_Linaro_PLOS_Comp_Bio_2022/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/mechanisms/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/individuals/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/individuals/A-thorny/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/individuals/A-thorny/DH070213C3/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/individuals/Thorny/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/individuals/Thorny/DH070813C1/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/morphologies/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/dlutils/
- CA3_models_Linaro_PLOS_Comp_Bio_2022/configs/
A modified Morris-Lecar model with gM and gAHP (Yang et al., 2022)
- MATLAB_elife_code_2022/
Modulation of cortical Up-Down state switching by astrocytes (Moyse & Berry, 2022)
- scriptsUPDOWN2000A/
- scriptsUPDOWN2000A/rate model/
- scriptsUPDOWN2000A/rate model/.ipynb_checkpoints/
- scriptsUPDOWN2000A/spiking_model/
- scriptsUPDOWN2000A/spiking_model/.ipynb_checkpoints/
Depolarization Enhacement of Dendritic Spike Propagation (Bock et al 2022)
- dedsp/
- dedsp/morph/
- dedsp/mechs/
- dedsp/docs/
- dedsp/task-output/
- dedsp/nrnengine/
- dedsp/mechs/main-mech/
- dedsp/docs/workflows/
- dedsp/nrnengine/__pycache__/
Phasic dopamine changes, Hebbian mechs during reversal learning in striatum (Schirru et al in press)
- Codes_Mar_2022/
- Codes_Mar_2022/Two_channels/
- Codes_Mar_2022/Four_channels/
Patterns of synchronization in 2D networks of inhibitory neurons (Miller et al, 2022)
- Miller_etal2021/
MEC PV-positive fast-spiking interneuron network generates theta-nested fast oscillations
- Archive/
- Archive/fIs_exp/
- Archive/TxtFigS1/
- Archive/RatesFig8/
- Archive/RatesFig7/
- Archive/output/
- Archive/Figures/
- Archive/params/
- Archive/params/chem_syns/
- Archive/params/intrinsic/
- Archive/params/gjs/
- Archive/params/chem_syns/conn_mat/
- Archive/params/chem_syns/gms/
- Archive/params/chem_syns/delays/
- Archive/params/intrinsic/passive/
- Archive/params/intrinsic/active/
- Archive/params/intrinsic/exp/
- Archive/params/gjs/conn_mat/
- Archive/params/gjs/ggaps/
- Archive/params/chem_syns/conn_mat/p036/
- Archive/params/chem_syns/gms/p036/
- Archive/params/chem_syns/delays/p036/
- Archive/params/intrinsic/passive/taums/
- Archive/params/intrinsic/passive/gLs/
- Archive/params/intrinsic/passive/ELs/
- Archive/params/gjs/conn_mat/original/
- Archive/params/gjs/conn_mat/mod_gL/
- Archive/params/gjs/ggaps/experimental/
- Archive/params/gjs/ggaps/mod_gL/
- Archive/params/chem_syns/gms/p036/polynomial/
- Archive/params/chem_syns/gms/p036/lognormal/
- Archive/params/intrinsic/passive/gLs/original/
- Archive/params/intrinsic/passive/gLs/mod_gL/
- Archive/params/intrinsic/passive/ELs/original/
- Archive/params/intrinsic/passive/ELs/mod_gL/
- Archive/params/gjs/conn_mat/mod_gL/sigma04_higg12/
- Archive/params/gjs/ggaps/mod_gL/sigma04_higg12/
- Archive/params/intrinsic/passive/gLs/mod_gL/sigma04_higg12/
- Archive/params/intrinsic/passive/ELs/mod_gL/sigma04_higg12/
- Archive/params/gjs/conn_mat/mod_gL/sigma04_higg12/gLmin20/
- Archive/params/gjs/conn_mat/mod_gL/sigma04_higg12/gLmin10/
- Archive/params/gjs/conn_mat/mod_gL/sigma04_higg12/gLmin15/
- Archive/params/gjs/ggaps/mod_gL/sigma04_higg12/gLmin20/
- Archive/params/gjs/ggaps/mod_gL/sigma04_higg12/gLmin10/
- Archive/params/gjs/ggaps/mod_gL/sigma04_higg12/gLmin15/
- Archive/params/intrinsic/passive/gLs/mod_gL/sigma04_higg12/gLmin20/
- Archive/params/intrinsic/passive/gLs/mod_gL/sigma04_higg12/gLmin10/
- Archive/params/intrinsic/passive/gLs/mod_gL/sigma04_higg12/gLmin15/
- Archive/params/intrinsic/passive/ELs/mod_gL/sigma04_higg12/gLmin20/
- Archive/params/intrinsic/passive/ELs/mod_gL/sigma04_higg12/gLmin10/
- Archive/params/intrinsic/passive/ELs/mod_gL/sigma04_higg12/gLmin15/
Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023)
- E-STL-Robot_Model/
- E-STL-Robot_Model/Learning/
- E-STL-Robot_Model/Learning/husky/
- E-STL-Robot_Model/Learning/resources/
- E-STL-Robot_Model/Learning/resources/textures/
- E-STL-Robot_Model/Recall/
- E-STL-Robot_Model/Recall/.py
- E-STL-Robot_Model/Recall/husky/
- E-STL-Robot_Model/Recall/resources/
- E-STL-Robot_Model/Recall/resources/textures/
AIS model of L5 cortical pyramidal neuron (Filipis et al., 2023)
- aisL5/
Pacemaking, Bursting, and Depolarization Block in Midbrain Dopamine Neurons (Knowlton et al. 2022)
- model_files/
A modified Morris-Lecar with TRPC4 & GIRK (Tian et al. 2022)
- Tian_et_al_2022_code/
Exact mean-field models for Izhikevich networks (Chen and Campbell 2022)
- Code_IzhikevichNetwork_MF_ModelDB/
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/
- Code_IzhikevichNetwork_MF_ModelDB/Figure2/
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/
- Code_IzhikevichNetwork_MF_ModelDB/Figure4/
- Code_IzhikevichNetwork_MF_ModelDB/1pop_TimeSeries_MATLAB/
- Code_IzhikevichNetwork_MF_ModelDB/2pop_TimeSeries_MATLAB/
- Code_IzhikevichNetwork_MF_ModelDB/Figure1/
- Code_IzhikevichNetwork_MF_ModelDB/Figure6/
- Code_IzhikevichNetwork_MF_ModelDB/Figure7/
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5a/
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5b/
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5d/
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5c/
- Code_IzhikevichNetwork_MF_ModelDB/Figure2/mu0.18PO-PO/
- Code_IzhikevichNetwork_MF_ModelDB/Figure2/mu0.07EP-PO/
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/Figure3d/
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/Figure3c/
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/Figure3b/
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/Figure3a/
- Code_IzhikevichNetwork_MF_ModelDB/Figure4/Figure4cd/
- Code_IzhikevichNetwork_MF_ModelDB/Figure4/Figure4ab/
- Code_IzhikevichNetwork_MF_ModelDB/Figure1/Figure1ab/
- Code_IzhikevichNetwork_MF_ModelDB/Figure1/Figure1de/
- Code_IzhikevichNetwork_MF_ModelDB/Figure1/Figure1c/
- Code_IzhikevichNetwork_MF_ModelDB/Figure6/Figure6a/
- Code_IzhikevichNetwork_MF_ModelDB/Figure6/Figure6cd/
- Code_IzhikevichNetwork_MF_ModelDB/Figure6/Figure6b/
- Code_IzhikevichNetwork_MF_ModelDB/Figure7/Exp1_rnd_N4/
- Code_IzhikevichNetwork_MF_ModelDB/Figure7/Exp2_rnd_N4/
- Code_IzhikevichNetwork_MF_ModelDB/Figure7/Exp3_deter_N4/
- Code_IzhikevichNetwork_MF_ModelDB/Figure1/Figure1c/wm_mu_MF_XPPAUT/
NeuroGPU example on L5_TTPC1_cADpyr232_1 (Ben-Shalom 2022)(Ramaswamy et al., 2015)
- NeuroGPU_ModelDB/
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/KinStates.dat
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/CParsed/
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/params/
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/Stims/
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/morphology/
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/Data/
- NeuroGPU_ModelDB/BBP_TTPC_EXAMPLE/filepaths.py
A 3D population model of midget retinal ganglion cells at the human fovea (Italiano et al, 2022)
- mRGC_population_model_human_fovea_Italiano_2022/
- mRGC_population_model_human_fovea_Italiano_2022/RGC/
- mRGC_population_model_human_fovea_Italiano_2022/RGC-fovea/
- mRGC_population_model_human_fovea_Italiano_2022/RGC/common/
- mRGC_population_model_human_fovea_Italiano_2022/RGC/biophys/
- mRGC_population_model_human_fovea_Italiano_2022/RGC/mod/
- mRGC_population_model_human_fovea_Italiano_2022/RGC-fovea/primate_cell_generator/
- mRGC_population_model_human_fovea_Italiano_2022/RGC-fovea/stim/
- mRGC_population_model_human_fovea_Italiano_2022/RGC-fovea/helpers/
- mRGC_population_model_human_fovea_Italiano_2022/RGC-fovea/distributions/
A sensorimotor-spinal cord model (Hoshino et al. 2022)
- MotAc7MDB2/
A focal seizure model with ion concentration changes (Gentiletti et al., 2022)
- SeizureDyn2022/
Effects of Dopamine Modulation and KIR Inactivation in NAc Medium Spiny Neurons (Steephen 2011)
- MSN(DA)2011/
- MSN(DA)2011/support_files/
- MSN(DA)2011/support_files/Instchk.dat
Cell-type specific integration of feedforward and feedback synaptic inputs (Ridner et al, 2022)
- NonLinear integration in PPC pyramidal cell subtypes/
Physiological noise facilitates multiplexed coding of vibrotactile signals in somatosensory cortex
- S1 coding/
- S1 coding/Fig1/
- S1 coding/Fig1/.ipynb_checkpoints/
- S1 coding/Fig1/__pycache__/
- S1 coding/Fig2/
- S1 coding/Fig2/panel A/
- S1 coding/Fig2/panel A/.ipynb_checkpoints/
- S1 coding/Fig2/panel A/__pycache__/
- S1 coding/Fig2/panel B/
- S1 coding/Fig2/panel B/.ipynb_checkpoints/
- S1 coding/Fig2/panel B/__pycache__/
- S1 coding/Fig2/panel C/
- S1 coding/Fig2/panel C/.ipynb_checkpoints/
- S1 coding/Fig2/panel C/__pycache__/
- S1 coding/Fig2/panel D/
- S1 coding/Fig2/panel D/.ipynb_checkpoints/
- S1 coding/Fig2/panel D/__pycache__/
- S1 coding/Fig2/panel E_SD10/
- S1 coding/Fig2/panel E_SD10/.ipynb_checkpoints/
- S1 coding/Fig2/panel E_SD10/__pycache__/
- S1 coding/Fig6/
- S1 coding/Fig6/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/
- S1 coding/Fig6/Idc65 pA/100_No/
- S1 coding/Fig6/Idc65 pA/100_No/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/100_No/__pycache__/
- S1 coding/Fig6/Idc65 pA/100_nWEAK/
- S1 coding/Fig6/Idc65 pA/100_nWEAK/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/100_nWEAK/__pycache__/
- S1 coding/Fig6/Idc65 pA/100_STRONG/
- S1 coding/Fig6/Idc65 pA/100_STRONG2/
- S1 coding/Fig6/Idc65 pA/100_STRONG2/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/100_STRONG2/__pycache__/
- S1 coding/Fig6/Idc65 pA/100_STRONG3/
- S1 coding/Fig6/Idc65 pA/100_STRONG3/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/100_STRONG3/__pycache__/
- S1 coding/Fig6/Idc65 pA/100_STRONG/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/100_STRONG/__pycache__/
- S1 coding/Fig6/Idc65 pA/200_No/
- S1 coding/Fig6/Idc65 pA/200_No/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/200_No/__pycache__/
- S1 coding/Fig6/Idc65 pA/200_nWEAK/
- S1 coding/Fig6/Idc65 pA/200_nWEAK/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/200_nWEAK/__pycache__/
- S1 coding/Fig6/Idc65 pA/200_STRONG/
- S1 coding/Fig6/Idc65 pA/200_STRONG2/
- S1 coding/Fig6/Idc65 pA/200_STRONG2/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/200_STRONG2/__pycache__/
- S1 coding/Fig6/Idc65 pA/200_STRONG3/
- S1 coding/Fig6/Idc65 pA/200_STRONG3/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/200_STRONG3/__pycache__/
- S1 coding/Fig6/Idc65 pA/200_STRONG/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/200_STRONG/__pycache__/
- S1 coding/Fig6/Idc65 pA/400_No/
- S1 coding/Fig6/Idc65 pA/400_No/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/400_No/__pycache__/
- S1 coding/Fig6/Idc65 pA/400_nWEAK/
- S1 coding/Fig6/Idc65 pA/400_nWEAK/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/400_nWEAK/__pycache__/
- S1 coding/Fig6/Idc65 pA/400_STRONG/
- S1 coding/Fig6/Idc65 pA/400_STRONG2/
- S1 coding/Fig6/Idc65 pA/400_STRONG2/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/400_STRONG2/__pycache__/
- S1 coding/Fig6/Idc65 pA/400_STRONG3/
- S1 coding/Fig6/Idc65 pA/400_STRONG3/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/400_STRONG3/__pycache__/
- S1 coding/Fig6/Idc65 pA/400_STRONG/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA/400_STRONG/__pycache__/
- S1 coding/Fig6/Idc65 pA_heterogeneity/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_No/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_No/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_No/__pycache__/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_nWEAK/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_STRONG/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_STRONG2/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_STRONG3/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_STRONG/.ipynb_checkpoints/
- S1 coding/Fig6/Idc65 pA_heterogeneity/100_STRONG/__pycache__/
- S1 coding/Fig6/Idc90 pA/
- S1 coding/Fig6/Idc90 pA/100_No/
- S1 coding/Fig6/Idc90 pA/100_No/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/100_No/__pycache__/
- S1 coding/Fig6/Idc90 pA/100_nWEAK/
- S1 coding/Fig6/Idc90 pA/100_nWEAK/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/100_nWEAK/__pycache__/
- S1 coding/Fig6/Idc90 pA/100_STRONG/
- S1 coding/Fig6/Idc90 pA/100_STRONG2/
- S1 coding/Fig6/Idc90 pA/100_STRONG2/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/100_STRONG2/__pycache__/
- S1 coding/Fig6/Idc90 pA/100_STRONG3/
- S1 coding/Fig6/Idc90 pA/100_STRONG3/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/100_STRONG3/__pycache__/
- S1 coding/Fig6/Idc90 pA/100_STRONG/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/100_STRONG/__pycache__/
- S1 coding/Fig6/Idc90 pA/200_No/
- S1 coding/Fig6/Idc90 pA/200_No/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/200_No/__pycache__/
- S1 coding/Fig6/Idc90 pA/200_nWEAK/
- S1 coding/Fig6/Idc90 pA/200_nWEAK/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/200_nWEAK/__pycache__/
- S1 coding/Fig6/Idc90 pA/200_STRONG/
- S1 coding/Fig6/Idc90 pA/200_STRONG2/
- S1 coding/Fig6/Idc90 pA/200_STRONG2/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/200_STRONG2/__pycache__/
- S1 coding/Fig6/Idc90 pA/200_STRONG3/
- S1 coding/Fig6/Idc90 pA/200_STRONG3/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/200_STRONG3/__pycache__/
- S1 coding/Fig6/Idc90 pA/200_STRONG/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/200_STRONG/__pycache__/
- S1 coding/Fig6/Idc90 pA/400_No/
- S1 coding/Fig6/Idc90 pA/400_No/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/400_No/__pycache__/
- S1 coding/Fig6/Idc90 pA/400_nWEAK/
- S1 coding/Fig6/Idc90 pA/400_nWEAK/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/400_nWEAK/__pycache__/
- S1 coding/Fig6/Idc90 pA/400_STRONG/
- S1 coding/Fig6/Idc90 pA/400_STRONG2/
- S1 coding/Fig6/Idc90 pA/400_STRONG2/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/400_STRONG2/__pycache__/
- S1 coding/Fig6/Idc90 pA/400_STRONG3/
- S1 coding/Fig6/Idc90 pA/400_STRONG3/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/400_STRONG3/__pycache__/
- S1 coding/Fig6/Idc90 pA/400_STRONG/.ipynb_checkpoints/
- S1 coding/Fig6/Idc90 pA/400_STRONG/__pycache__/
Biophysically detailed model of somatosensory thalamocortical circuit
- S1_Thal_NetPyNE_Frontiers_2022/
- S1_Thal_NetPyNE_Frontiers_2022/runSubNets/
- S1_Thal_NetPyNE_Frontiers_2022/sim/
- S1_Thal_NetPyNE_Frontiers_2022/sim/cells/
- S1_Thal_NetPyNE_Frontiers_2022/sim/conn/
- S1_Thal_NetPyNE_Frontiers_2022/sim/mod/
Scaffold model of mouse CA1 hippocampus. (Gandolfi et al 2022)
- Gandolfi_et_al_2022/
- Gandolfi_et_al_2022/.ipynb_checkpoints/
Realistic barrel cortical column - Matlab (Huang et al., 2022)
- Cortical-representation-of-touch-in-silico-master/
- Cortical-representation-of-touch-in-silico-master/Figure 9/
- Cortical-representation-of-touch-in-silico-master/Figure 9/helper functions Svoboda data/
- Cortical-representation-of-touch-in-silico-master/Input data/
- Cortical-representation-of-touch-in-silico-master/Make_New_Connectivity/
- Cortical-representation-of-touch-in-silico-master/Make_New_Connectivity/helper/
- Cortical-representation-of-touch-in-silico-master/Make_New_Connectivity/helper/calculate connectivity matrix/
- Cortical-representation-of-touch-in-silico-master/Make_New_Connectivity/helper/generate barrel/
- Cortical-representation-of-touch-in-silico-master/Make_New_Thinput/
- Cortical-representation-of-touch-in-silico-master/Make_New_Thinput/activation functions/
- Cortical-representation-of-touch-in-silico-master/Make_New_Thinput/kernelfunctions/
- Cortical-representation-of-touch-in-silico-master/Network Simulations/
- Cortical-representation-of-touch-in-silico-master/Network Simulations/run simulations/
- Cortical-representation-of-touch-in-silico-master/Network Simulations/run simulations/helper/
- Cortical-representation-of-touch-in-silico-master/Network Simulations/run simulations/reorganize_conmat/
Realistic barrel cortical column - NetPyNE (Huang et al., 2022)
- Cortical-representation-of-touch-in-silico-NetPyne-main/
- Cortical-representation-of-touch-in-silico-NetPyne-main/Analysis/
- Cortical-representation-of-touch-in-silico-NetPyne-main/Analysis/60mV/
- Cortical-representation-of-touch-in-silico-NetPyne-main/Analysis/70mV/
- Cortical-representation-of-touch-in-silico-NetPyne-main/Analysis/80mV/
- Cortical-representation-of-touch-in-silico-NetPyne-main/Analysis/InstantiatedModel/
- Cortical-representation-of-touch-in-silico-NetPyne-main/Documentation/
- Cortical-representation-of-touch-in-silico-NetPyne-main/InstantiatedModel/
- Cortical-representation-of-touch-in-silico-NetPyne-main/ReadingData_Aguilar/
Spiny Projection Neuron Ca2+ based plasticity is robust to in vivo spike train (Dorman&Blackwell)
- NSGPlasticity/
- NSGPlasticity/testdata/
- NSGPlasticity/moose/
- NSGPlasticity/moose_nerp/
- NSGPlasticity/moose/neuroml2/
- NSGPlasticity/moose/neuroml/
- NSGPlasticity/moose/SBML/
- NSGPlasticity/moose/genesis/
- NSGPlasticity/moose/chemMerge/
- NSGPlasticity/moose/chemUtil/
- NSGPlasticity/moose_nerp/d1patchsample2/
- NSGPlasticity/moose_nerp/D1PatchSample5/
- NSGPlasticity/moose_nerp/test/
- NSGPlasticity/moose_nerp/D1PatchSample4/
- NSGPlasticity/moose_nerp/graph/
- NSGPlasticity/moose_nerp/__init__.py
- NSGPlasticity/moose_nerp/.spyproject/
- NSGPlasticity/moose_nerp/str_net/
- NSGPlasticity/moose_nerp/prototypes/
- NSGPlasticity/moose_nerp/D1MatrixSample2/
- NSGPlasticity/moose_nerp/scripts/
- NSGPlasticity/moose_nerp/D1MatrixSample3/
- NSGPlasticity/moose_nerp/d1d2/
- NSGPlasticity/moose_nerp/tests.log
- NSGPlasticity/moose_nerp/.vscode/
- NSGPlasticity/moose_nerp/d1opt/
- NSGPlasticity/moose_nerp/anal/
- NSGPlasticity/moose/neuroml2/__pycache__/
- NSGPlasticity/moose/neuroml2/schema/
- NSGPlasticity/moose/neuroml/__pycache__/
- NSGPlasticity/moose/SBML/__pycache__/
- NSGPlasticity/moose/genesis/__pycache__/
- NSGPlasticity/moose/chemMerge/__pycache__/
- NSGPlasticity/moose/chemUtil/__pycache__/
- NSGPlasticity/moose_nerp/d1patchsample2/conductance_save/
- NSGPlasticity/moose_nerp/d1patchsample2/__pycache__/
- NSGPlasticity/moose_nerp/D1PatchSample5/__pycache__/
- NSGPlasticity/moose_nerp/test/__pycache__/
- NSGPlasticity/moose_nerp/D1PatchSample4/__pycache__/
- NSGPlasticity/moose_nerp/graph/__init__.py
- NSGPlasticity/moose_nerp/graph/__pycache__/
- NSGPlasticity/moose_nerp/str_net/__pycache__/
- NSGPlasticity/moose_nerp/str_net/tests.log
- NSGPlasticity/moose_nerp/prototypes/__init__.py
- NSGPlasticity/moose_nerp/prototypes/__pycache__/
- NSGPlasticity/moose_nerp/prototypes/tests.log
- NSGPlasticity/moose_nerp/prototypes/.ipynb_checkpoints/
- NSGPlasticity/moose_nerp/D1MatrixSample2/D1_long_matrixout.p
- NSGPlasticity/moose_nerp/scripts/__init__.py
- NSGPlasticity/moose_nerp/scripts/.ipynb_checkpoints/
- NSGPlasticity/moose_nerp/d1d2/conductance_save/
- NSGPlasticity/moose_nerp/d1d2/tests.log
- NSGPlasticity/moose_nerp/d1opt/tests.log
Network dynamics of electrically coupled pituitary cells (Fazli and Bertram, 2022)
- Front_Endo_22/
Model for pusatile insulin secretion at basal levels of glucose (Fletcher et al, 2022)
- Physiology_22/
A model for early afterdepolarizations in the cardiomyocyte action potential (Kimrey et al., 2022)
- SIADS_22/
Integrated Oscillator Model for pancreatic islet beta-cells (Marinelli et al., 2022)
- IOM/
Model for pancreatic beta-cells with two isoforms of PFK (Marinelli et al., 2022)
- BJ_22a/
Stochastic model for pituitary corticotrophs (Duncan et al., 2022)
- JP_22/
Parallel Tempering MCMC on Liu et al 1998 (Wang et al 2022)
- export-modeldb/
- export-modeldb/final/
Simulations of Reaching Adaptation and Control (Crevecoeur et al., 2022)
- forceCues/
- __MACOSX/
- __MACOSX/forceCues/
Human L5 Cortical Circuit (Guet-McCreight et al, 2023)
- HumanL5Circuit_AGM2022-main/
- HumanL5Circuit_AGM2022-main/L5Circuit Analyses/
- HumanL5Circuit_AGM2022-main/L5Circuit/
- HumanL5Circuit_AGM2022-main/L5Circuit/default_circuit/
- HumanL5Circuit_AGM2022-main/L5Circuit/default_circuit/mod/
- HumanL5Circuit_AGM2022-main/L5Circuit/default_circuit/models/
- HumanL5Circuit_AGM2022-main/L5Circuit/default_circuit/morphologies/
- HumanL5Circuit_AGM2022-main/L5Circuit/heterogeneous_circuit/
- HumanL5Circuit_AGM2022-main/L5Circuit/heterogeneous_circuit/mod/
- HumanL5Circuit_AGM2022-main/L5Circuit/heterogeneous_circuit/models/
- HumanL5Circuit_AGM2022-main/L5Circuit/heterogeneous_circuit/morphologies/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_old/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_old/mod/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_old/models/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_old/morphologies/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_old/simdata/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_young/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_young/mod/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_young/models/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_young/morphologies/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_young/simdata/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5PV/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5PV/modfiles/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/init_8/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/out_1/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/out_3/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L5_PutativePyramidal/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L5_PutativePyramidal/init_8/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L5_PutativePyramidal/out_1/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/examples/L5_PutativePyramidal/out_3/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/experimental_data/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/modfiles/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_NSG/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_NSG/modfiles/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/init_8/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/out_1/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L1_PutativeNeurogliaform/out_3/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L5_PutativePyramidal/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L5_PutativePyramidal/init_8/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L5_PutativePyramidal/out_1/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/examples/L5_PutativePyramidal/out_3/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/experimental_data/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/modfiles/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_NSG/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_NSG/modfiles/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/Circuit_output/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/mod/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/mod/x86_64/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/mod/x86_64/.libs/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/models/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/morphologies/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Population Analysis/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Population Analysis/Morph1/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Population Analysis/Morph1/modfiles/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Population Analysis/Morph2/
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Population Analysis/Morph2/modfiles/
LGMD - ON excitation to dendritic field C
- eLife 2022 modelDB/
- eLife 2022 modelDB/data/
- eLife 2022 modelDB/mods/
- eLife 2022 modelDB/synapse/
Human layer 2/3 cortical microcircuits in health and depression (Yao et al, 2022)
- L23Net/mod/
- L23Net/models/
- L23Net/morphologies/
Heterogeneous axon model (Zang et al, accepted)
- code_pub/
- code_pub/multi_compartmental/
- code_pub/single/
- code_pub/multi_compartmental/1_0um/
On the long time behaviour of single stochastic Hodgkin-Huxley neurons (Höpfner 2023)
- hoepfner2023/
LIP and FEF rhythmic attention model (Aussel et al. 2023)
- code_modelDB/
- code_modelDB/model_files/
- code_modelDB/model_files/cells/
LP neuron model database (Zang and Marder 2023)
- code_pub/
- code_pub/131/
- code_pub/1292/
- code_pub/131/mod/
- code_pub/1292/mod/
Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
- JNE Model for ModelDB/
- JNE Model for ModelDB/Model Files/
- JNE Model for ModelDB/Model Files/Outputs/
- JNE Model for ModelDB/Model Files/Outputs/Responses/
- JNE Model for ModelDB/Model Files/Outputs/Responses/A2.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Cone.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven00.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven01.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven02.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven03.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven10.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven11.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven12.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven13.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven20.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven21.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven22.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven23.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven30.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven31.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven32.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven33.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven40.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven41.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven42.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven43.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven50.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven51.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven52.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Celleven53.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd00.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd01.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd02.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd03.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd04.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd10.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd11.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd12.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd13.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd14.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd20.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd21.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd22.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd23.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd24.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd30.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd31.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd32.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd33.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd34.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd40.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd41.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd42.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd43.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Gan_Cell_Responses/Gan_Cellodd44.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Horizontal.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/OFFConebip.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/OFFGan.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/OFFGanExcSyn.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/OFFGanInhSyn.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/ONConebip.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/ONGan.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/ONGanExcSyn.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Rod.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/Rodbip.csv
- JNE Model for ModelDB/Model Files/Outputs/Responses/t.csv
- JNE Model for ModelDB/Model Files/Outputs/Tracking_Matrices/
FNS spiking neural simulator; LIFL neuron model, event-driven simulation (Susi et al 2021)
- FNS-simulator-master/
- FNS-simulator-master/.attach_pid19765
- FNS-simulator-master/.settings/
- FNS-simulator-master/src/
- FNS-simulator-master/src/connectivity/
- FNS-simulator-master/src/connectivity/conn_package/
- FNS-simulator-master/src/connectivity/nodes/
- FNS-simulator-master/src/org/
- FNS-simulator-master/src/org/math/
- FNS-simulator-master/src/org/math/io/
- FNS-simulator-master/src/org/math/io/files/
- FNS-simulator-master/src/org/math/io/littleendian/
- FNS-simulator-master/src/org/math/io/parser/
- FNS-simulator-master/src/org/math/io/stream/
- FNS-simulator-master/src/org/math/plot/
- FNS-simulator-master/src/org/math/plot/canvas/
- FNS-simulator-master/src/org/math/plot/components/
- FNS-simulator-master/src/org/math/plot/icons/
- FNS-simulator-master/src/org/math/plot/plotObjects/
- FNS-simulator-master/src/org/math/plot/plots/
- FNS-simulator-master/src/org/math/plot/render/
- FNS-simulator-master/src/org/math/plot/utils/
- FNS-simulator-master/src/spiking/
- FNS-simulator-master/src/spiking/controllers/
- FNS-simulator-master/src/spiking/controllers/node/
- FNS-simulator-master/src/spiking/internode/
- FNS-simulator-master/src/spiking/node/
- FNS-simulator-master/src/spiking/node/external_inputs/
- FNS-simulator-master/src/spiking/node/neuron/
- FNS-simulator-master/src/spiking/node/plasticity/
- FNS-simulator-master/src/spiking/node/spikes/
- FNS-simulator-master/src/spiking/simulator/
- FNS-simulator-master/src/utils/
- FNS-simulator-master/src/utils/configuration/
- FNS-simulator-master/src/utils/constants/
- FNS-simulator-master/src/utils/exceptions/
- FNS-simulator-master/src/utils/experiment/
- FNS-simulator-master/src/utils/math/
- FNS-simulator-master/src/utils/plotter/
- FNS-simulator-master/src/utils/statistics/
- FNS-simulator-master/src/utils/tools/
- FNS-simulator-master/target/
- FNS-simulator-master/target/classes/
- FNS-simulator-master/target/classes/org/
- FNS-simulator-master/target/classes/org/math/
- FNS-simulator-master/target/classes/org/math/plot/
- FNS-simulator-master/target/classes/org/math/plot/icons/
- FNS-simulator-master/target/classes/spiking/
- FNS-simulator-master/target/classes/spiking/controllers/
- FNS-simulator-master/target/classes/spiking/controllers/node/
- FNS-simulator-master/target/classes/spiking/simulator/
- FNS-simulator-master/target/classes/utils/
- FNS-simulator-master/target/classes/utils/statistics/
- FNS-simulator-master/target/maven-status/
- FNS-simulator-master/target/maven-status/maven-compiler-plugin/
- FNS-simulator-master/target/maven-status/maven-compiler-plugin/compile/
- FNS-simulator-master/target/maven-status/maven-compiler-plugin/compile/default-compile/
A model of ASIC1a and synaptic cleft pH modulating wind-up in wide dynamic range neurons (Delrocq)
- publishable_code_4/
The STN-GPe network; subthalamic nucleus, prototypic GPe, and arkypallidal GPe neurons (Kitano 2023)
- STN-GPe/
CA1 pyr cell: phenomenological NMDAR-based model of synaptic plasticity (Dainauskas et al 2023)
- Dainauskas_et_al_2023/
- Dainauskas_et_al_2023/figures/
Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit (Ponzi et al. 2023)
- scanzres/
- scanzres/mechanisms/
- scanzres/morphology/
Stoney vs Histed: Quantifying spatial effects of intracortical microstims (Kumaravelu et al 2022)
- KumaraveluEtAl2022/
- KumaraveluEtAl2022/cells/
- KumaraveluEtAl2022/mechanisms/
- KumaraveluEtAl2022/data_analysis/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_2/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_5/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_4/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_3/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_4/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_3/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_3/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_4/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_1/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_2/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_1/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_5/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_5/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_2/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_1/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_4/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_3/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_4/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_3/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_1/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_2/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_5/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_2/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_5/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_1/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_2/mechanisms/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_2/synapses/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_2/morphology/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_5/mechanisms/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_5/synapses/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_5/morphology/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_4/mechanisms/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_4/synapses/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_4/morphology/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_3/mechanisms/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_3/synapses/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_3/morphology/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_4/mechanisms/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_4/synapses/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_4/morphology/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_3/mechanisms/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_3/synapses/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_3/morphology/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_3/mechanisms/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_3/synapses/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_3/morphology/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_4/mechanisms/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_4/synapses/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_4/morphology/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_1/mechanisms/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_1/synapses/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_1/morphology/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_2/mechanisms/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_2/synapses/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_2/morphology/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_1/mechanisms/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_1/synapses/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_1/morphology/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_5/mechanisms/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_5/synapses/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_5/morphology/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_5/mechanisms/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_5/synapses/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_5/morphology/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_2/mechanisms/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_2/synapses/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_2/morphology/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_1/mechanisms/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_1/synapses/
- KumaraveluEtAl2022/cells/L23_PC_cADpyr229_1/morphology/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_4/mechanisms/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_4/synapses/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_4/morphology/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_3/mechanisms/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_3/synapses/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_3/morphology/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_4/mechanisms/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_4/synapses/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_4/morphology/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_3/mechanisms/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_3/synapses/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_3/morphology/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_1/mechanisms/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_1/synapses/
- KumaraveluEtAl2022/cells/L6_TPC_L4_cADpyr231_1/morphology/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_2/mechanisms/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_2/synapses/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_2/morphology/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_5/mechanisms/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_5/synapses/
- KumaraveluEtAl2022/cells/L1_NGC-DA_bNAC219_5/morphology/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_2/mechanisms/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_2/synapses/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_2/morphology/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_5/mechanisms/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_5/synapses/
- KumaraveluEtAl2022/cells/L5_TTPC2_cADpyr232_5/morphology/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_1/mechanisms/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_1/synapses/
- KumaraveluEtAl2022/cells/L4_LBC_cACint209_1/morphology/
Aplysia LTF model (Liu et al, 2020; Zhang et al, 2021; Liu et al 2022)
- Zhang_et_al_2022_LTF model/
Glial voltage dynamics driven by Kir & K2P currents (Janjic et al 2023)
- XPPAUT_Code_and_Data_D-22-00597/
Relating anatomical and biophysical properties to motoneuron excitabilty (Moustafa et al. 2023)
- moustafaetal2023/NEURON Model/
- moustafaetal2023/XPPAUT Model/
- moustafaetal2023/XPPAUT Model/6cModel Xppaut/
Dorsal Column Fiber Stimulation model (Gilbert et al. 2022)
- Gilbert et al DC Fiber Code/mechanism/
- Gilbert et al DC Fiber Code/model/
- Gilbert et al DC Fiber Code/Output/
- Gilbert et al DC Fiber Code/ThoracicFEMVoltages/
Decorrelation in the developing visual thalamus (Tikidji-Hamburyan et al, accepted)
- dLGN-decorrelation-2023/
- dLGN-decorrelation-2023/TC-fitting/
- dLGN-decorrelation-2023/TC-fitting/mods/
- dLGN-decorrelation-2023/TC-fitting/pyneuronautofit/
- dLGN-decorrelation-2023/TC-fitting/pyneuronautofit/__pycache__/
- dLGN-decorrelation-2023/dLGN-network/
- dLGN-decorrelation-2023/dLGN-network/simtoolkit/
- dLGN-decorrelation-2023/dLGN-network/simtoolkit/__pycache__/
- dLGN-decorrelation-2023/dLGN-network/lmods/
- dLGN-decorrelation-2023/dLGN-network/mods/
- dLGN-decorrelation-2023/dLGN-network/SLURM-scripts/
- dLGN-decorrelation-2023/experimentaldata/
ELL Medium Ganglion Cell (Mormyrid fish) (Muller et al, 2023)
- model for curr_bio-neuronDB/
- model for curr_bio-neuronDB/mod files/
- model for curr_bio-neuronDB/.ipynb_checkpoints/
HH-type model of fast-spiking parvalbumin interneurons in spinal dorsal horn (Ma et al, 2023)
- PVIN_MaEtAl2023/Figures/
- PVIN_MaEtAl2023/MATLAB/
- PVIN_MaEtAl2023/XPP/
Biochemical Systems Theory Model of TNFa related pathways (Sasidharakurup and Diwakar 2020)
- APNS/SBML code/
Biochemical Systems Theory Model of SARS-CoV-2 infection network (Sasidharakurup et al., 2021)
- OIJB/
- OIJB/xml files/
- OIJB/xml_Code/
Particle-Swarm Based Modelling Reveals Two Distinct Classes of CRH^{PVN} Neurons (Lameu et al 2022)
- codes_PSO_CRH_paper/Hopf_Saddle_networks/
- codes_PSO_CRH_paper/PeriPVN_CRH_network/
- codes_PSO_CRH_paper/plot_fit_traces/
A computational model for fast skeletal muscle (Kim and Heckman, accepted)
- supplemental_data_s1/
Multiscale model of primary motor cortex circuits predicts in vivo dynamics (Dura-Bernal et al 2023)
- M1_modeldb/
- M1_modeldb/analysis/
- M1_modeldb/analysis/UMAP_analysis_code/
- M1_modeldb/analysis/UMAP_analysis_code/Figure5/
- M1_modeldb/analysis/UMAP_analysis_code/Figure5/Data_Control/
- M1_modeldb/analysis/UMAP_analysis_code/Figure5/Data_NoradrenalineBlock/
- M1_modeldb/analysis/UMAP_analysis_code/Figure5/Data_MotorThalamusInactivation/
- M1_modeldb/analysis/UMAP_analysis_code/Figure6/
- M1_modeldb/analysis/UMAP_analysis_code/Figure6/DataBatch30/
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Cell-level/
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Cell-level/Data_Control/
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Population-level/
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Population-level/Data_MotorThalamusInactivation/
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Population-level/Data_NoradrenalineBlock/
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Population-level/Data_Control/
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig2/
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig2/Data_Control/
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig2/Data_MotorThalamusInactivation/
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig2/Data_NoradrenalineBlock/
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig1/
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig1/Data_Control/
- M1_modeldb/analysis/syn_input_analysis_code/
- M1_modeldb/sim/
- M1_modeldb/sim/mod/
- M1_modeldb/sim/conn/
- M1_modeldb/sim/cells/
- M1_modeldb/sim/x86_64/
- M1_modeldb/sim/x86_64/.libs/
Neuronal computation evoked by extra-large spines (Obi-Nagata et al., 2023)
- NEURON code/
- NEURON code/Fig 3/
- NEURON code/Fig 3/The other spines/
- NEURON code/Fig 3/The other spines/Multi-spines model/
- NEURON code/Fig 3/XL-sized spines/
- NEURON code/Fig 3/XL-sized spines/Multi-spines model/
- NEURON code/Fig S8/
- NEURON code/Fig S8/Single spine model/
Hippocampus CA1 OLM cell multicompartment conductance-based model (Sun et al. 2023)
- FULL/
Estimating the effects of slicing on the electrophysiological properties of spinal motoneurons under normal and disease conditions (Mousa and Elbasiouny 2021)
- Estimating-slicing-effect-on-spinal-MNs-master/
M-current in a collision detection neuron (LGMD model) (Dewell & Gabbiani 2018)
- DG-2018b-MDB/
- DG-2018b-MDB/mods/
- DG-2018b-MDB/data/
Ventral medial entorhinal cortical stellate neuron model: the role of T-type Ca2+ and persistent Na+ (Topczewska et al., accepted)
- modelDB/
- modelDB/mod - new/
- modelDB/morphology/
DRG nociceptors from wild-type and Fhf2-KO mice. Fhf2 gene knockout blocks heat nociception. (Marra et al., 2023)
- ModelDB Submission Feb 2023/
- ModelDB Submission Feb 2023/FHF2KO Model Dissociated Neuron with Heating/
- ModelDB Submission Feb 2023/FHF2KO Model Axon Stimulation 43oC/
- ModelDB Submission Feb 2023/WT Model Dissociated Neuron with Heating/
- ModelDB Submission Feb 2023/WT Model Terminal Stimulation and Heating/
- ModelDB Submission Feb 2023/WT Model Axon Stimulation 44oC/
- ModelDB Submission Feb 2023/WT Model Terminal Stimulation without Heating/
- ModelDB Submission Feb 2023/FHF2KO Model Terminal Stimulation and Heating/
- ModelDB Submission Feb 2023/WT Model Axon Stimulation 37oC/
- ModelDB Submission Feb 2023/FHF2KO Model Axon Stimulation 37oC/
- ModelDB Submission Feb 2023/FHF2KO Model Terminal Stimulation without Heating/
CA1 pyramidal populations after high frequency head impacts (Chapman, et al., 2023)
- PyrOptAll/
- PyrOptAll/Pyr_Opt_Analysis/
- PyrOptAll/Pyr_Opt_Analysis/resources/
- PyrOptAll/Pyr_Opt_Analysis/resources/project/
- PyrOptAll/Pyr_Opt_Analysis/resources/project/qaw0eS1zuuY1ar9TdPn1GMfrjbQ/
- PyrOptAll/Pyr_Opt_Analysis/resources/project/fjRQtWiSIy7hIlj-Kmk87M7s21k/
- PyrOptAll/Pyr_Opt_Analysis/resources/project/root/
- PyrOptAll/Pyr_Opt_Analysis/resources/project/NjSPEMsIuLUyIpr2u1Js5bVPsOs/
- PyrOptAll/PyrOptRepo/
- PyrOptAll/PyrOptRepo/mechanisms/
- PyrOptAll/PyrOptRepo/config/
- PyrOptAll/PyrOptRepo/checkpoints/
- PyrOptAll/PyrOptRepo/morphology/
- PyrOptAll/PyrOpt_GetData/
- PyrOptAll/Data/
- PyrOptAll/Data/Sham/
- PyrOptAll/Data/HFHI/
- PyrOptAll/Data/Results/
- PyrOptAll/Data/Results/ExcelFiles/
- PyrOptAll/Data/Results/ExcelFiles/PCA/
- PyrOptAll/Data/Results/ExcelFiles/Features/
- PyrOptAll/Data/Results/ExcelFiles/PLS/
- PyrOptAll/Data/Results/Prism/
- PyrOptAll/Data/Results/Figures/
- PyrOptAll/Data/Results/Figures/PCA/
- PyrOptAll/Data/Results/Figures/PLS/
- PyrOptAll/Data/Results/Figures/Conductance/
- PyrOptAll/Data/Sloley et al./
- PyrOptAll/Data/Sloley et al./HFHICC/
- PyrOptAll/Data/Sloley et al./ShamCC/
Tutorial: Using NEURON for Neuromechanical Simulations (Fietkiewicz et al., 2023)
- 2014814/
- 2014814/Models/
- 2014814/Models/2-OscillatorLoop/
- 2014814/Models/2-OscillatorLoop/hoc/
- 2014814/Models/2-OscillatorLoop/Python/
- 2014814/Models/6-LotkaVolterra/
- 2014814/Models/6-LotkaVolterra/hoc/
- 2014814/Models/6-LotkaVolterra/Python/
- 2014814/Models/1-Neuromuscular/
- 2014814/Models/1-Neuromuscular/hoc/
- 2014814/Models/1-Neuromuscular/Python/
- 2014814/Models/5-AplysiaLoop/
- 2014814/Models/5-AplysiaLoop/hoc/
- 2014814/Models/5-AplysiaLoop/Python/
- 2014814/Models/4-NonsmoothOscillator/
- 2014814/Models/4-NonsmoothOscillator/b-VariableStep/
- 2014814/Models/4-NonsmoothOscillator/c-AlgebraicLogic/
- 2014814/Models/4-NonsmoothOscillator/c-AlgebraicLogic/hoc/
- 2014814/Models/4-NonsmoothOscillator/c-AlgebraicLogic/Python/
- 2014814/Models/4-NonsmoothOscillator/a-FixedStep/
- 2014814/Models/3-RespirationLoop/
- 2014814/Models/3-RespirationLoop/hoc/
- 2014814/Models/3-RespirationLoop/Python/
- 2014814/PointerBuilder apps/
- 2014814/PointerBuilder apps/NEURON/
- 2014814/PointerBuilder apps/Python/
Purkinje cell dendritic tree selection in early cerebellar development (Kato + De Schutter)
- ModelDB/
Minimal model for human ventricular action potentials (Bueno-Orovio et al 2008)
- Bueno-Model/
Cholinergic Modulation Shifts the Response of CA1 Pyramidal Cells to Depolarizing Ramps via TRPM4 Channels with Potential Implications for Place Cell Firing (Combe et al., 2023)
- cholinergic_shift_generalize/
- cholinergic_shift_generalize/template/
- cholinergic_shift_generalize/previous_ip3_dep_model/
- cholinergic_shift_generalize/previous_ip3_dep_model/c80761/
- cholinergic_shift_generalize/previous_ip3_dep_model/pc1a/
- cholinergic_shift_generalize/previous_ip3_dep_model/pc1a/CNG version/
- cholinergic_shift_generalize/previous_ip3_dep_model/template/
- cholinergic_shift_generalize/previous_ip3_dep_model/lib/
- cholinergic_shift_generalize/previous_ip3_dep_model/experiment/
- cholinergic_shift_generalize/previous_ip3_dep_model/pc2b/
- cholinergic_shift_generalize/lib/
- cholinergic_shift_generalize/experiment/
- cholinergic_shift_generalize/pc2b/
Long- and short-term history effects in a spiking network model of statistical learning (Maes et al accepted)
- code/
- code/data/
TD2Q reinforcement learning (Blackwell and Doya, in press)
- td2q/
- td2q/ManuscriptFiles/
- td2q/Bandit2023may19/
Hybrid NEURON-COMSOL sciatic nerve model with extracellular TIME stimulation (Xie et al, accepted)
- 267618/
- 267618/nerve/
- 267618/scripts/
- 267618/data/
- 267618/data/modelValidation/
- 267618/data/PE/
- 267618/data/rx/
- 267618/mod/
A multiscale predictive digital twin for neurocardiac modulation (Yang et al., 2023)
- ANS_SAN_VM_OSparc_ModelDB/
- ANS_SAN_VM_OSparc_ModelDB/SAN/
- ANS_SAN_VM_OSparc_ModelDB/ANS/
- ANS_SAN_VM_OSparc_ModelDB/VM/
ffian: Fluid Flow In Astrocyte Networks (Sætra et al. 2023)
- ffian/
Role of synchrony in sensation and the basis for paresthesia-free spinal cord stimulation (Sagalajev et al., 2024)
- code/
- code/Biophysical axon model (Fig 6)/
- code/Circuit Model (Fig 7)/
- code/Circuit Model (Fig 7)/SCS-Circuit-Model/
- code/Circuit Model (Fig 7)/SCS-Circuit-Model/Code/
- code/Circuit Model (Fig 7)/SCS-Circuit-Model/__MACOSX/
- code/Circuit Model (Fig 7)/SCS-Circuit-Model/__MACOSX/Code/
- code/Mathematical axon model (Fig 5)/
- code/Mathematical axon model (Fig 5)/1 kHz and 50 Hz/
- code/Mathematical axon model (Fig 5)/1 kHz and 50 Hz/1 kHz/
- code/Mathematical axon model (Fig 5)/1 kHz and 50 Hz/50 Hz/
- code/Mathematical axon model (Fig 5)/143 Hz/
- code/Mathematical axon model (Fig 5)/500 Hz/
Adaptive Generalized Leaky Integrate-and-Fire Model (AGLIF) (Marasco et al., 2023)
- AGLIF_model/
- AGLIF_model/optimization/
Transient and Steady-State Properties of Drosophila Sensory Neurons Coding Noxious Cold Temperature; (Maksymchuk, N., Sakurai, A., Cox, D. N., & Cymbalyuk, G. 2022)
- MaksymchuEtAl2022for_modelDB/
Cold-Temperature Coding with Bursting and Spiking Based on TRP Channel Dynamics in Drosophila Larva Sensory Neurons (Maksymchuk, N., A. Sakurai, D.N. Cox, and G.S. Cymbalyuk, 2023)
- MaksymchukEtAl2023Scripts For ModelDb/
- MaksymchukEtAl2023Scripts For ModelDb/Fig1/
- MaksymchukEtAl2023Scripts For ModelDb/Fig6/
- MaksymchukEtAl2023Scripts For ModelDb/Fig8/
Time-dependent homeostatic mechanisms underlie Brain-Derived Neurotrophic Factor action on neural circuitry (O'Neill, 2023)
- bdnfHomeostasis/
Frequency-dependent pattern separation in a biophysical model of the dentate gyrus, (Singh et al., 2023)
- DG-NEURON-Oscillations-oscillations/
- DG-NEURON-Oscillations-oscillations/objects/
- DG-NEURON-Oscillations-oscillations/mods/
A neural network model of mathematics anxiety: The role of attention (Rose et al., 2023)
- NumericalStroopANN/
- NumericalStroopANN/Results/
- NumericalStroopANN/Results/NumberComparisonResults/
- NumericalStroopANN/Results/NumericalStroopResults/
- NumericalStroopANN/Results/PhysicalStroopResults/
- NumericalStroopANN/Results/NumberComparisonResults/NDEAcrossLearn/
- NumericalStroopANN/Results/NumberComparisonResults/TDNum095/
- NumericalStroopANN/Results/NumberComparisonResults/DiffNumLearnTrials/
- NumericalStroopANN/Results/NumericalStroopResults/ChangeThreshold/
- NumericalStroopANN/Results/NumericalStroopResults/DiffNumLearnTrials/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/
- NumericalStroopANN/Results/NumericalStroopResults/LMA_ModelValidation/
- NumericalStroopANN/Results/PhysicalStroopResults/DifferentNumberOfLearningTrials/
- NumericalStroopANN/Results/NumberComparisonResults/NDEAcrossLearn/GraphForResults/
- NumericalStroopANN/Results/NumberComparisonResults/TDNum095/GraphForResults/
- NumericalStroopANN/Results/NumberComparisonResults/DiffNumLearnTrials/Trials_20000_18000x095/
- NumericalStroopANN/Results/NumberComparisonResults/DiffNumLearnTrials/From_10000To100000/
- NumericalStroopANN/Results/NumberComparisonResults/DiffNumLearnTrials/Trials_20000_18000/
- NumericalStroopANN/Results/NumericalStroopResults/ChangeThreshold/GraphForResults/
- NumericalStroopANN/Results/NumericalStroopResults/DiffNumLearnTrials/GraphForResults/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/TDNumPhys095_Reported/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/TDNum095_Reported/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/ExperimentalSuarezGraphs/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/TDPhys095_Reported/
- NumericalStroopANN/Results/NumericalStroopResults/LMA_ModelValidation/MinitabPlots/
- NumericalStroopANN/Results/PhysicalStroopResults/DifferentNumberOfLearningTrials/GraphForResults/
- NumericalStroopANN/Results/NumberComparisonResults/DiffNumLearnTrials/Trials_20000_18000x095/GraphForResults/
- NumericalStroopANN/Results/NumberComparisonResults/DiffNumLearnTrials/From_10000To100000/GraphForResults/
- NumericalStroopANN/Results/NumberComparisonResults/DiffNumLearnTrials/Trials_20000_18000/GraphForResults/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/TDNumPhys095_Reported/GraphForResults/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/TDNum095_Reported/GraphForResults/
- NumericalStroopANN/Results/NumericalStroopResults/HMA_Model_Impairments/TDPhys095_Reported/GraphForResults/
Different responses of mice and rats hippocampus CA1 pyramidal neurons to in vitro and in vivo-like inputs (vitale et al., 2023)
- files_model_2014816/
- files_model_2014816/readme_file/
- files_model_2014816/morphology/
A biophysical model of thalamocortical network switching under propofol (Soplata et al., 2023)
- soplata-2023-modeldb/
- soplata-2023-modeldb/dynasim-extended-benita-model/
- soplata-2023-modeldb/dynasim-extended-benita-model/models/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/objects/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/objects/pack/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/objects/info/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/info/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/logs/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/logs/refs/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/logs/refs/heads/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/logs/refs/remotes/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/logs/refs/remotes/origin/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/hooks/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/refs/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/refs/heads/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/refs/tags/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/refs/remotes/
- soplata-2023-modeldb/dynasim-extended-benita-model/.git/refs/remotes/origin/
- soplata-2023-modeldb/dynasim-extended-benita-model/archaic/
- soplata-2023-modeldb/dynasim-extended-benita-model/archaic/models/
- soplata-2023-modeldb/soplata-2023-thalcort-code/
- soplata-2023-modeldb/soplata-2023-thalcort-code/fig06-07-barcharts/
- soplata-2023-modeldb/soplata-2023-thalcort-code/table1/
- soplata-2023-modeldb/soplata-2023-thalcort-code/fig02-wakelike-mainfig-cortonly/
- soplata-2023-modeldb/soplata-2023-thalcort-code/suppfig01-direct-only/
- soplata-2023-modeldb/soplata-2023-thalcort-code/fig03-05-main-sim/
- soplata-2023-modeldb/soplata-2023-thalcort-code/table2/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/objects/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/objects/pack/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/objects/info/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/info/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/logs/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/logs/refs/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/logs/refs/heads/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/logs/refs/remotes/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/logs/refs/remotes/origin/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/hooks/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/refs/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/refs/heads/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/refs/tags/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/refs/remotes/
- soplata-2023-modeldb/soplata-2023-thalcort-code/.git/refs/remotes/origin/
Hippocampal synaptic plasticity in Alzheimer's disease (Dainauskas et al., 2023)
- MILEDI_modeldb/
- MILEDI_modeldb/figures/
- MILEDI_modeldb/morphology/
- MILEDI_modeldb/mechanisms/
- MILEDI_modeldb/src/
- MILEDI_modeldb/src/helper/
- MILEDI_modeldb/src/helper/__init__.py
- MILEDI_modeldb/src/plots/
- MILEDI_modeldb/src/plots/__init__.py
- MILEDI_modeldb/src/__init__.py
- MILEDI_modeldb/configs/
- MILEDI_modeldb/nrnhoc/
- MILEDI_modeldb/sessions/
L2/3 V1 Pyramidal Cell model (modified Park et al., 2019; a/n: 231185) (Petousakis et al., 2023)
- Petousakis_et_al_2023_Model/
- Petousakis_et_al_2023_Model/morphologies/
- Petousakis_et_al_2023_Model/mod.files/
- Petousakis_et_al_2023_Model/results/
Hypothalamic CRH neurons represent physiological memory of positive and negative experience (Füzesi et al., 2023)
- 2015420/
Human and mouse Purkinje cell models (Masoli et al., 2024)
- Purkinje_model_human_mice_2023/
- Purkinje_model_human_mice_2023/mouse_model/
- Purkinje_model_human_mice_2023/mouse_model/morphology/
- Purkinje_model_human_mice_2023/mouse_model/protocols/
- Purkinje_model_human_mice_2023/mouse_model/mod_files/
- Purkinje_model_human_mice_2023/human_model/
- Purkinje_model_human_mice_2023/human_model/morphology/
- Purkinje_model_human_mice_2023/human_model/protocols/
- Purkinje_model_human_mice_2023/human_model/mod_files/
Unipolar brush cell circuits extend and diversify spiking patterns (Hariani et al., 2023)
- Hariani2023/
D1-MSN: The effect of EAAC1 on firing frequency (Petroccione et al., 2023)
- Neuron Code for Paper/
- Neuron Code for Paper/Ball and Stick/
- Neuron Code for Paper/Realistic Morphology/
- Neuron Code for Paper/mod_files/
- Neuron Code for Paper/Ball and Stick/Two Inputs/
- Neuron Code for Paper/Ball and Stick/Setting Inputs/
- Neuron Code for Paper/Ball and Stick/E-I_frequency/
- Neuron Code for Paper/Realistic Morphology/SWC Files/
- Neuron Code for Paper/Realistic Morphology/Setting Inputs/
- Neuron Code for Paper/Realistic Morphology/E-I_Frequency/
- Neuron Code for Paper/Ball and Stick/Two Inputs/tau_tables/
- Neuron Code for Paper/Ball and Stick/Setting Inputs/tau_tables/
- Neuron Code for Paper/Ball and Stick/E-I_frequency/tau_tables/
- Neuron Code for Paper/Realistic Morphology/E-I_Frequency/tau_tables/
- Neuron Code for Paper/Ball and Stick/Two Inputs/tau_tables/CVS/
- Neuron Code for Paper/Ball and Stick/Setting Inputs/tau_tables/CVS/
- Neuron Code for Paper/Ball and Stick/E-I_frequency/tau_tables/CVS/
- Neuron Code for Paper/Realistic Morphology/E-I_Frequency/tau_tables/CVS/
Impact on backpropagation of the spatial heterogeneity of sodium channel kinetics in the axon initial segment (Barlow et al., 2024)
- ModelDB_upload/
- ModelDB_upload/Hu-based_model/
- ModelDB_upload/Hu-based_model/reference_curve_somatic_stimulation/
- ModelDB_upload/Hu-based_model/reference_curve_somatic_stimulation/morphology/
- ModelDB_upload/Hu-based_model/backprop_threshold_axonal_stimulation/
- ModelDB_upload/Hu-based_model/backprop_threshold_axonal_stimulation/morphology/
- ModelDB_upload/Hu-based_model/reference_curve_axonal_stimulation/
- ModelDB_upload/Hu-based_model/reference_curve_axonal_stimulation/morphology/
- ModelDB_upload/Hu-based_model/backprop_threshold_somatic_stimulation/
- ModelDB_upload/Hu-based_model/backprop_threshold_somatic_stimulation/morphology/
- ModelDB_upload/Hay-based_model/
- ModelDB_upload/Hay-based_model/morphologies/
- ModelDB_upload/Hay-based_model/models/
- ModelDB_upload/Hay-based_model/mod/
An ODE model of the inspiratory & sigh rhythms (Borrus et al., 2024)
- ModelDB_version/
Thalamocortical sleep model (Fink et. al., 2024, and Krishnan et al., 2016)
- bazhlab_sleep_code/
- bazhlab_sleep_code/mod/
Hippocampal O-LM interneurons and hippocampo-septal neurons with simplified and detailed biophysics (Takács et al, 2024)
- For_modeldb/
- For_modeldb/Simplified_models/
- For_modeldb/Simplified_models/HOC/
- For_modeldb/Simplified_models/Parameters_from_neuroptimus/
- For_modeldb/Simplified_models/modfiles/
- For_modeldb/Simplified_models/HOC_for_mito/
- For_modeldb/Simplified_models/Syn_per_area_for_HCS/
- For_modeldb/Detailed_models/
- For_modeldb/Detailed_models/HOC/
- For_modeldb/Detailed_models/Parameters_from_neuroptimus/
- For_modeldb/Detailed_models/modfiles/
Synaptic plasticity for hippocampal place field formation and dynamics (Savelli 2024)
- Savelli_JNeurosci_2024_ModelDB/ModelCode/
- Savelli_JNeurosci_2024_ModelDB/SimulationPlat137/
- Savelli_JNeurosci_2024_ModelDB/TRAJECTORIES/
Modeling realistic synaptic inputs of CA1 hippocampal pyramidal neurons and interneurons via Adaptive Generalized Leaky Integrate-and-Fire models (Marascoa et al., 2024)
- 2015423/
- 2015423/SAP generation/
- 2015423/marasco_etal/
Equivalent excitability achieved via different Nav subtypes (Xie et al., 2024)
- DRG_paper_code/
Electrical properties of dendritic spines (Popovic et al. 2015)
- popovic2015/
- popovic2015/readme.fld/
- popovic2015/krieger/
An integrated deep learning-based model of spatial cells that combines self-motion with sensory information (Aziz et al., 2022)
- Revision2 _codeupload3D/GenerateResults/
- Revision2 _codeupload3D/GenerateResults/Figures/
- Revision2 _codeupload3D/GenerateResults/Figures/Props/
- Revision2 _codeupload3D/Helix/
- Revision2 _codeupload3D/Pegboard/
- Revision2 _codeupload3D/Rebuttal/
- Revision2 _codeupload3D/Rebuttal/Figures/
- Revision2 _codeupload3D/Rebuttal/Figures/Figures2uploadRev2/
- Revision2 _codeupload3D/Rebuttal/Figures/Figures2uploadRev2/Supplementary Figures/
- Revision2 _codeupload3D/rebuttal_fig.pptx
Touch-Motor Circuit (Gradwell et al., 2024)
- touch-motor-circuit/
- touch-motor-circuit/emg/
- touch-motor-circuit/spkt/
- touch-motor-circuit/mods/
Cholinergic modulation of resting state networks (Sanda et al., accepted)
- sanda_2024/
Markovian model for HCN-encoded current regulated by capsazepine (Wong et al., 2024)
- Capsazepine-HCN-Model/
Mouse colorectal afferent ending (Feng et al 2015)
- Lec6 afferent_ramp34sec_v1/
- Lec6 afferent_ramp34sec_v1/MOD_BF_2014/
A novel mechanism for ramping bursts based on slow negative feedback in model respiratory neurons (John et al., accepted)
- 2016216/
- 2016216/Optimization/
Subthreshold conductances regulate theta-frequency LFPs and spike phase (Sinha and Narayanan, 2015)
- codes/
- codes/HCNfast/
- codes/MATLAB scripts/
- codes/MATLAB scripts/Mat/
- codes/MATLAB scripts/Mat/Temp/
- codes/Igor Scripts/
- codes/HCN/
- codes/EPSP/
- codes/Passive/
- codes/morphology-n123/
- codes/mod files/
Respiratory control model with brainstem CPG and sensory feedback adapted for COVID-19 associated silent hypoxemia (Diekman et al., 2024)
- silent-hypoxemia-model/
- silent-hypoxemia-model/data_for_Fig3B/
Myelin dystrophy impairs signal transmission and working memory in a multiscale model of the aging prefrontal cortex (Ibañez, Sengupta et al., 2024)
- MyelinDystrophyStudies_ModelDB/
- MyelinDystrophyStudies_ModelDB/SingleNeuronModel/
- MyelinDystrophyStudies_ModelDB/NetworkModel/
- MyelinDystrophyStudies_ModelDB/NetworkModel/bump_attractor_model/
- MyelinDystrophyStudies_ModelDB/NetworkModel/bump_attractor_model/demyelinated_network/
- MyelinDystrophyStudies_ModelDB/NetworkModel/bump_attractor_model/demyelinated_network/data_dem25segm_remove75lam/
- MyelinDystrophyStudies_ModelDB/NetworkModel/bump_attractor_model/remyelinated_network/
- MyelinDystrophyStudies_ModelDB/NetworkModel/bump_attractor_model/remyelinated_network/data_rem50segm_after_partialDem25segm_add75lam/
- MyelinDystrophyStudies_ModelDB/NetworkModel/bump_attractor_model/young_control_network/
- MyelinDystrophyStudies_ModelDB/NetworkModel/bump_attractor_model/young_control_network/data_controlNetwork/
- MyelinDystrophyStudies_ModelDB/NetworkModel/activity_silent_model/
- MyelinDystrophyStudies_ModelDB/NetworkModel/activity_silent_model/young_silent_network_280trials/
- MyelinDystrophyStudies_ModelDB/NetworkModel/activity_silent_model/young_silent_network_singleTrial/
- MyelinDystrophyStudies_ModelDB/NetworkModel/activity_silent_model/young_silent_network_singleTrial/stimloc_4/
Axonal K channel inhibition promotes ectopic burst of hippocampal mossy fiber (Kamiya 2024)
- Kamiya2024/
Heterogeneous Purkinje Cell model (Cirtala et al., accepted)
- HeterogeneousPCmod/
- HeterogeneousPCmod/Figure5/
- HeterogeneousPCmod/Figure5/Matlab_codes/
- HeterogeneousPCmod/Figure5/Neuron_codes/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br14_CAP16/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br14_CAP16/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br14_CAP16/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br21_CAP08/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br21_CAP08/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br21_CAP08/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br17_CAP11/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br17_CAP11/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br17_CAP11/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br22_CAP08/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br22_CAP08/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br22_CAP08/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br16_CAP12/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br16_CAP12/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br16_CAP12/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br20_CAP3/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br20_CAP3/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br20_CAP3/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br19_CAP26/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br19_CAP26/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br19_CAP26/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br15_CAP08/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br15_CAP08/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br15_CAP08/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br18_CAP28/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br18_CAP28/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/right_tree/br18_CAP28/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br2_CAP16/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br2_CAP16/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br2_CAP16/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br8_CAP09/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br8_CAP09/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br8_CAP09/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br5_CAP1/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br5_CAP1/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br5_CAP1/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br3_CAP17/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br3_CAP17/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br3_CAP17/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br7_CAP28/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br7_CAP28/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br7_CAP28/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br6_CAP22/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br6_CAP22/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br6_CAP22/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br4_CAP15/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br4_CAP15/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br4_CAP15/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br1_CAP14/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br1_CAP14/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/left_tree/br1_CAP14/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br9_CAP12/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br9_CAP12/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br9_CAP12/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br11_CAP1/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br11_CAP1/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br11_CAP1/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br10_CAP15/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br10_CAP15/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br10_CAP15/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br12_CAP08/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br12_CAP08/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br12_CAP08/mod/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br13_CAP22/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br13_CAP22/Results/
- HeterogeneousPCmod/Figure5/Neuron_codes/middle_tree/br13_CAP22/mod/
- HeterogeneousPCmod/Figure2/
- HeterogeneousPCmod/Figure2/Matlab_codes/
- HeterogeneousPCmod/Figure2/Neuron_codes/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP15/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP15/Results/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP15/mod/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP13/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP13/Results/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP13/mod/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP1/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP1/Results/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP1/mod/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP17/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP17/Results/
- HeterogeneousPCmod/Figure2/Neuron_codes/CAP17/mod/
- HeterogeneousPCmod/Figure3/
- HeterogeneousPCmod/Figure3/Matlab_codes/
- HeterogeneousPCmod/Figure3/Neuron_codes/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP1/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP1/Results/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP1/mod/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP08/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP08/Results/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP08/mod/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP06/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP06/Results/
- HeterogeneousPCmod/Figure3/Neuron_codes/CAP06/mod/
- HeterogeneousPCmod/Figure4/
- HeterogeneousPCmod/Figure4/with_Kv4_increase/
- HeterogeneousPCmod/Figure4/with_Kv4_increase/br8/
- HeterogeneousPCmod/Figure4/with_Kv4_increase/br8/Results/
- HeterogeneousPCmod/Figure4/with_Kv4_increase/br8/mod/
- HeterogeneousPCmod/Figure4/with_Kv4_increase/br7/
- HeterogeneousPCmod/Figure4/with_Kv4_increase/br7/Results/
- HeterogeneousPCmod/Figure4/with_Kv4_increase/br7/mod/
- HeterogeneousPCmod/Figure4/no_Kv4_increase/
- HeterogeneousPCmod/Figure4/no_Kv4_increase/br8/
- HeterogeneousPCmod/Figure4/no_Kv4_increase/br8/Results/
- HeterogeneousPCmod/Figure4/no_Kv4_increase/br8/mod/
- HeterogeneousPCmod/Figure4/no_Kv4_increase/br7/
- HeterogeneousPCmod/Figure4/no_Kv4_increase/br7/Results/
- HeterogeneousPCmod/Figure4/no_Kv4_increase/br7/mod/
- HeterogeneousPCmod/Figure1/
- HeterogeneousPCmod/Figure1/Matlab_codes/
- HeterogeneousPCmod/Figure1/Neuron_codes/
- HeterogeneousPCmod/Figure1/Neuron_codes/Results/
- HeterogeneousPCmod/Figure1/Neuron_codes/mod/
- HeterogeneousPCmod/Figure6/
- HeterogeneousPCmod/Figure6/Matlab_curve_fitter_app/
- HeterogeneousPCmod/Figure7/
- HeterogeneousPCmod/Figure7/Matlab_codes/
- HeterogeneousPCmod/Figure7/Neuron_codes/
- HeterogeneousPCmod/Figure7/Neuron_codes/br11andbr12/
- HeterogeneousPCmod/Figure7/Neuron_codes/br11andbr12/Results/
- HeterogeneousPCmod/Figure7/Neuron_codes/br11andbr12/mod/
- HeterogeneousPCmod/Figure7/Neuron_codes/br5andbr10/
- HeterogeneousPCmod/Figure7/Neuron_codes/br5andbr10/Results/
- HeterogeneousPCmod/Figure7/Neuron_codes/br5andbr10/mod/